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See below for a list of our current vacancies

Job Reference : BM&H-012186

Location : Oxford Road, Manchester

Closing Date : 14/07/2018

Salary : £31,604 to £38,833 per annum

Employment Type : Fixed Term

Faculty / Organisational Unit : Biology, Medicine & Health

Hours Per week : Full Time

Contract Duration : Starting 1 August 2018 until 29 February 2020

We are looking for a research associate to develop and apply methodology for clinical risk prediction in patients with one or more long term conditions. At present, clinical risk models take a cross sectional perspective on reality, incorporating only the most recently measured values from biomarkers and risk factors. This is often inadequate, as the long term conditions tend to move in and out of control, against a backdrop of slow deterioration. This can have implications for short term risks, e.g. of emergency hospital admission. The applicant will therefore develop dynamic risk prediction models, which update in real-time, and are able to predict risk of multiple outcomes simultaneously.

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Job Reference : BM&H-12284

Location : Oxford Road, Manchester

Closing Date : 12/07/2018

Salary : Lecturer – £35,550 to £49,149 per annum / Senior Lecturer £50,618 to £60,410 per annum, according to relevant experience

Employment Type : Fixed Term

Faculty / Organisational Unit : Biology, Medicine & Health

Division : Population Health, Health Services Research & Primary Care

Hours Per week : Full Time

Contract Duration : Fixed-term for 3 years

We are looking to recruit into a new interdisciplinary team for research and teaching in Healthcare Sciences. Recognising the need for crossing disciplinary boundaries, taking advantage of current innovations whilst developing new solutions, the University of Manchester has invested over £5 million over 5 years for a new Integrated Interdisciplinary Innovations in Healthcare Science (I3HS) Hub that will be led by Prof Kay Marshall, Head of the School of Health Sciences. The new Hub will focus on teaching / capacity building and research in the field of integrated medicine and interdisciplinary sciences for health and social care. It is a School led initiative to increase capacity in data sciences, public health and integrated medicine through increasing teaching and research opportunities across all three Faculties and external stakeholders.

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