Widening Participation Fellows: Work Opportunity

WP Fellow Information Form


Are you passionate about your subject area?

Would you like the opportunity to work with local school children?

…then the Widening Participation Award Holder programme might be for you!

The Undergraduate Recruitment and Widening Participation Team is currently recruiting Postgraduate Research students for the position of Widening Participation Fellows. These positions support the University’s widening participation activities with a range of learners from primary through to sixth formers.

There are a number of posts available in each Faculty and also one post which is specific to The Ahmed Iqbal Ullah Race Relations Resource Centre.

For more information about the University’s widening participation work please visit: http://www.manchester.ac.uk/undergraduate/schoolsandcolleges/


Hours and Pay: The period of employment is usually from October – July (10 months). The standard level of involvement is 100 hours in total spread across the 10 months. The payment is monthly (£125 a month). Potential applicants interested in fewer hours should speak with the contact person for their area given in the attached roles and responsibilities document.

Further details of the positions can be found in the attached PDF Document. Interested applicants need to send the following information to your relevant Faculty Officer by Friday 31st August 2012.

WP Award Holder Information Form (attached)


Covering letter outlining your teaching experience with the age group 11 – 18 years and evidence of the essential skills listed above. This should be no longer than one side of A4.

Deadline date for applications of 31st August

Kind Regards,

Emma Lewis

Emma Lewis l UG Recruitment and Widening Participation Officer (Academic Enrichment STEM) The Directorate for Student Experience l Rutherford Building G.057 l Coupland Street The University of Manchester  l  Manchester, M13 9PL   tel + 44 (0)161 306 1715 l  Fax: + 44 (0)161 275 2106

To find out what events are currently taking place at the University please visit: http://events.manchester.ac.uk/calendar/tab:prospectivestudents/

Images of Research Competition – Needs Your Votes!

We challenged researchers at The University of Manchester to share their work with you using just a single, inspiring image and short description.

Now you get the chance to decide on the winning entry in our Images of Research photographic competition.

The shortlisted entries are being exhibited at the John Rylands Library Deansgate (3 – 28 October), and at the Manchester Science Spectacular at Whitworth Hall (29 October).

You can also vote online on the Science Spectacular website – http://www.manchestersciencespectacular.co.uk/?p=485

Take a look through the 18 shortlisted images and rate the image and associated description, using the 5-star rating at the bottom of each page.

Help us to decide who deserves to win a prize.

Voting is open to all staff and students at the University and beyond – so be sure to tell your friends and family too!  Go on take a little peek and get voting! (Closes 30 October 2011)

Upcoming NVivo 9 training event – Limited number of places available

NVivo 9 training event

3-4 October 11

No 2 Wellington Place, Leeds, West Yorkshire, LS1 4AP

Course Overview
This two-day workshop will provide you with a thorough introduction of the main features of NVivo 9 using a sample data. You will learn how to: efficiently and effectively manage, code and analyse structured, semi-structured, unstructured interview data including multimedia data sources, Excel spreadsheets, Access databases, IBM SPSS statistics and Endnote.

You will structure your thematic node system, supported by your chosen methodology; setup demographic attributes about the respondents to assist profiling themes; use queries to seek answers to research questions as well as formulate new questions and explore new ideas. You will use the modeling facility to capture the big picture of your project or display different views or show relationships. You will export models to use in PowerPoint presentations.  You will explore the graphing facility to visualize two or three dimensional charts of results. You will also use the new ‘connection maps’ to easily explore connections between project items.

You will be shown how to use NVivo 9’s new ‘extract’ feature to extract and export specific reports or results into other applications.  You will be shown how to setup a team project involving many researchers in different geographical locations.

Who is the Course Aimed At?
This course is designed for the complete beginner as well as those who have used previous versions of the software: NVivo 8, NVivo 7, N6, and NVivo 2.

You are encouraged to bring your own data, if you have any, at least a transcript of one interview in Word format. We will provide data if you have no data. We provide laptops for all participants so you need not bring your own, however if you prefer to work on your own laptop, then you are welcome to bring your own with NVivo pre-installed. If you have not yet acquired your own NVivo 9 license, you could download a FREE 30day trial copy from http://www.qsrinternational.com/#tab_you.

Each participant is given a tutor time to receive feedback on their node structure, coding, attributes and queries.  Other areas will be directed by the needs of participants. The maximum class size is 9.

The two days course cost for academic delegate is £323.26 and £371.75 for commercial delegate. Participants receive a comprehensive training guide, after training support, lunches and refreshments for the duration of the 2 days.

Recognition for Learning
Participants will receive a certificate of attendance on completion of the course.

Request booking by sending email to training@datasolutionservices.co.uk or download booking form from the website http://www.datasolutionservices.co.uk/uploads/files/booking_request_for_nvivo_public_event.doc

National Postgraduate Research Survey (PRES)

Did you know about the National Survey that is looking at Postgraduate Research Experiences?

It is your chance to tell us about what is good and that you find helpful in your research programmes and to make the University aware of how it can improve your research experience.  We do value your views and will use the results to inform our future developments.

The survey is an online questionnaire and it is live until the 17 May (it  should take less than 30 minutes to complete).

You have the chance to win £50.00 of Amazon vouchers (winners drawn from entries recived by 31 March, 30 April and 17 May).

You can access PRES by going to:


you will need to enter a PRES username this is your University user name

the PRES password is your campus Solutions ID (i.e. the first 7 digits of your Library Card number).

Recognising academic style

Session 1 – Recognising language functions

1. Matching exercise

See if you can you match the functional headings below with the textual extracts on the following pages (some of the texts have more than one function):

• giving relevant background

• describing a process

• reporting results in a table

• reviewing the literature

• identifying a knowledge gap

• defining a term

• comparing and contrasting

• describing cause and effect

• classifying

• exemplifying

• suggesting future work

Recent statistics show significant differences between men and women in survival following a heart attack. For example, 42 percent of women who have heart attacks die within 1 year compared with 24 percent of men. The reasons for these differences are not well understood. We know that women tend to get heart disease about 10 years later in life than men, and they are more likely to have coexisting chronic conditions. Research also has shown that women may not be diagnosed or treated as aggressively as men, and their symptoms may be very different from those of men who are having a heart attack.

From: Agency for Healthcare research and Quality (2006) Research on Cardiovascular Disease in Women
(Correct on 14th Septemebr, 2006)


The precipitated gutta percha is dried to constant weight in a desiccator. The chloroform-insoluble precipitate is washed with acetone and dried to constant weight. The dried residue is then washed with hydrochloric acid, separating the insoluble heavy metal salts (mainly barium sulphate) from the soluble zinc oxide. The insoluble salts are washed with distilled water and acetone and dried to constant weight.

The percentage of zinc oxide is then calculated on the difference between the original known weight, and the sum of the measured weights of gutta percha, waxes/resins, and heavy metal salts.

From: Al-Eid (1994) Efficacy of Quantec rotary instruments for gutta-percha removal Unpublished PhD Thesis School of Dentistry, Manchester.


Roxithromycin (14), an oxime derivative of erythromycin, is an acid-stable orally administered antibacterial macrolide. The conformational studies have established that the drug exists as a single conformer in solution (Gharbi-Benarous et al., 1990; Gharbi-Benarous et al., 1991). Roxithromycin is active against Gram-positive and Gram-negative cocci, Gram-positive bacilli and some Gram-negative bacilli. Atypical pathogens like Mycobacterium avium and Helicobacter pylori are also affected but it has no significant effect on the predominant faecal flora (Bryskier, 1998).

From: Pranab, B.K. (2003) “Erythromycin B: An Old Drug For The New Millennium”. Unpublished PhD Thesis, School of Pharmacy and Pharmaceutical Sciences, Manchester.


Table 3 shows a comparison of patients clustered by DNA analysis to those nonclustered according to various demographic and clinical characteristics. Factors significantly associated with clustering were HIV infection and birth in the United States. There was no difference in proportion clustered by year. Patients with histories of prior treatment and Asian patients were significantly less likely (odds ratio [OR] = 0.40, 95% confidence interval [CI] = 0.17 to 0.98 and OR=0.18, 95% CI-0.06 to 0.53, respectively) to be in a cluster. Patients in clusters were 3 times more likely to have epidemiologic links than those not in clusters. In a subanalysis that included only non-U.S.-born patients who had a known date of entry to the United States, clustering was significantly associated (OR=1.09, 95% CI=1.02, l.16; p=0.01) with longer time of residence in the United States.

From: Munsiff, S., Bassoff, T., Nivin, B., Li, J., Sharma, A., Bifani, P., Mathema, B., Driscoll, J. and Barry N. Kreiswirth, B., (2002) “Molecular Epidemiology of Multidrug-Resistant Tuberculosis, New York City, 1995–1997”. Emerging Infectious Diseases. http://www.cdc.gov/ncidod/EID/vol8no11/02-0288.htm (accessed on 14th September , 2006)


There are many different autoimmune diseases, and they can each affect the body in different ways. For example, the autoimmune reaction is directed against the brain in multiple sclerosis and the gut in Crohn’s disease. In other autoimmune diseases such as systemic lupus erythematosus (lupus), affected tissues and organs may vary among individuals with the same disease. One person with lupus may have affected skin and joints whereas another may have affected skin, kidney, and lungs. Ultimately, damage to certain tissues by the immune system may be permanent, as with destruction of insulin-producing cells of the pancreas in Type 1 diabetes mellitus.

From: Shoman, M. (2006) “Understanding Autoimmune Diseases, Including Autoimmune Thyroid Conditions” (accessed on 13th September 2006).


Initially LiF:Mg,Cu,P was developed and used in powder form until 1986 when Wang et al24 at the Central Research Laboratory in Bejing, China produced the first LiF:Mg,Cu,P chips called GR-200A. Now it is possible to produce the TLD in a variety of forms such as polycrystalline hot pressed chips, sintered chips, accurately machined, optically transparent disks, rods, cubes, chips, as single crystals and as thin films on kapton substrates as well as in powder form. There have been several papers published in which the composition of the TLD and the manufacturing procedures have been discussed in great detail5

From: Boardman, J. (2004) “Patient Dose Evaluation and Optimisation in Orthodontic Radiology”. Unpublished MSc Thesis, Faculty of Medicine, Dentistry, Nursing and Pharmacy, Manchester.


Ambient temperature has also been shown to affect lung function. When investigating the effects of various environmental factors on children’s lung function, Kagawa and Toyama demonstrated that ambient temperature highly affected respiratory function tests (Kagawa and Toyama, 1975). An increase in temperature was related to an increase in airway resistance. One explanation for their findings might relate to the effects of ozone which correlates highly with air temperature. In our study change in air temperature confounded the relationship between FVC (Forced vital capacity) and change in NO2 but was not significant itself. No effect of O3 on FVC was observed when the analysis was performed for those 217 children where O3 measurements were available.

From: Frischer et al. (1993) “The effects of ambient NO2 on lung function in primary children”, Environmental Research, 62: 179-188.


Standard protocol AP radiographs were taken of all patients who were in the supine position and slightly turned to the image side (20°), with the arm in external rotation and palm facing forward.23 The film focus distance was measured at 115 cm, and a 15° craniocaudal tilt was used to project the undersurface of the acromion perpendicular. This created a true AP projection 90° toward the shoulder (Fig 1). All radiographs were taken in a clinical setting in the presence of the principal investigator (MS) who controlled for image quality and positioning.29

From: Van de Sande, M. A. J, Stoel, B. C., and Rozing P. M , (2006) “Subacromial Space Measurement: A Reliable Method Indicating Fatty Infiltration in Patients with Rheumatoid Arthritis Responses to Drug and alcohol related problems in Dublin”, Clinical Orthopaedics And Related Research. 0:1-7.


Although it is often thought of as a single disease diabetes can in fact be subdivided into two main diseases. Traditionally diabetes has been classified into IDDM or Insulin Dependent Diabetes and NIDDM for Non Insulin Dependent Diabetes. Although this classification has been in use for many years it is not the most correct as many people that suffer from what was known as NIDDM are also dependent on insulin for survival and management of their disease. This has led to a recent re-classification of the disease into type 1 (previously IDDM) and type 2 diabetes (previously NIDDM). Type 1 is mainly a disease of young age of onset, and is due to the destruction by the immune system of the insulin secreting ß-cells in the pancreas …… ……. Type 2 diabetes is the most common of these two diseases accounting for 90-95% of all diabetes cases diagnosed worldwide. It is mainly characterised by …..

From: Sanger Institute (2006) “Obesity and Type 2 Diabetes: Major Public Health Threats” http://www.sanger.ac.uk/Teams/Team35/diabetes.shtml (accessed on 13th September, 2006).


In the literature there is good evidence of an association between various sports and postural deviations. Among athletes who experience asymmetrical load on the trunks and the shoulders, such as tennis players (Sward et al., 1990), hurling players (Watson, 1983), javelin throwers (Helstrom et al., 1990) and rowers (Woynarowska and Bojanowska, 1979), scoliosis has been detected. Becker (1986) reported the results of a study carried out by Krahl and Steinbruk between 1974 and 1978 on 571 top athletes, in which they found a 33.5% incidence of functional scoliosis and a 1.6% incidence of idiopathic scoliosis.

From: Rajabi, R (2002) “An investigation into Sagittal Thoracic Curvature in Cyclists and Non-cyclists”, Unpublished PhD thesis (Musculoskeletal Research Group, Manchester).


A number of possible future studies using the same experimental set up are apparent. It would be interesting to assess the effects of mood altering drugs such as alcohol, amphetamine and cocaine on performance and brain activation patterns of subjects playing Pac-Man. Furthermore, it would be interesting to compare the results of subjects who were playing for a performance-related financial reward with the results of subjects playing the game under normal conditions.

From: White, T. (2003) “Using a computer game paradigm to investigate the neural basis of reward: an fMRI study. Unpublished MSc Thesis, School of Bioliological Sciences, Manchester.


There is no published data in Western Australia to indicate on what demographic basis doctor dispensing licences have been granted. Further, there is no research to indicate whether residents of towns receiving pharmaceutical care through the doctor are receiving the same level of service as residents with access to a pharmacy in their town. Nor is there any data as to the level of patronage of doctor dispensing services relative to pharmacy services in rural areas.

From: V Bruce Sunderland, V.B., Burrows, S.D. and Joyce, A.W. (2006) “A comparative evaluation of pharmacy services in single and no pharmacy towns”. Australia and New Zealand Health Policy. 2006; 3: 8.


2. Language Study
Now try to show how the communicative function of each extract is related to the words/phrases used. Underline the relevant words/phrases and structures.

Faculty Research Staff Representatives

The Faculty of Medical and Human Sciences is large and diverse with researchers located across the entire north-west region.  To link its researchers and foster a sense of community the Faculty has developed a Research Staff Forum. Representatives from each School meet together at the Research Staff Forum.  At this meeting, representatives share best practice and make recommendations to the senior managers of the Faculty.

Research Staff Forum Aims

  • To act as an information channel to communicate the training and career development support available to Research Staff.
  • To raise awareness of common issues and promote the interests of research staff within the Faculty.
  • To provide School specific training and encourage the establishment of interdisciplinary collaborative research between research staff.

The Research Staff Forum relies on your input.  If you have any issues that you would like to raise at the forum, please contact your School representative (see list below).

Representatives Contact Details School
David Morris David.M.Morris@manchester.ac.uk Cancer and Enabling Sciences
Jamie Honeychurch Jhoneychurch@picr.man.ac.uk Cancer and Enabling Sciences
Katt Dibb Katharine.dibb@manchester.ac.uk Biomedicine
Sarah Withers Sarah.withers@manchester.ac.uk Biomedicine
David Pattwell David.Pattwell@manchester.ac.uk Translational Medicine
Kate Knighting katherine.knighting@manchester.ac.uk Nursing, Midwifery and Social Work
Sally Jacobs Sally.jacobs@manchester.ac.uk Pharmacy and Pharmaceutical Sciences
Sarah Willis Sarah.willis@manchester.ac.uk Pharmacy and Pharmaceutical Sciences
Kirsten Windfuhr kirsten.windfuhr@manchester.ac.uk Community Based Medicine
Vacancy Vacancy Dentistry
Simon Durrant Simon.Durrant@manchester.ac.uk Psychological Sciences
Claire Noble claire.noble@manchester.ac.uk Psychological Sciences