Application deadline: 4th April
The Centre for Health Informatics, Computation and Statistics (CHICAS)
at the Lancaster Medical School has an opportunity for a talented
machine learning researcher or computational statistician to work on an
Academy of Medical Science funded research project into
neurodegenerative diseases. As the successful applicant, you will help
develop accurate prediction models for patient outcomes in Alzheimer’s
disease, motor neuron disease and Parkinson’s disease, based on a
combination of clinical, molecular and neuroimaging data.
The project is a collaboration with researchers at the Sheffield
Institute for Translational Neuroscience (SITraN), the German Centre for
Neurodegenerative Diseases (DZNE) and the Luxembourg Centre for Systems
Biomedicine (LCSB). You will have regular interactions with clinical and
medical science researchers to discuss ideas and validate findings. The
research will lead to a better understanding of variable phenotypes
underlying neurodegenerative diseases, as well as resulting in accurate
machine learning methods for predicting cognitive and physical decline
in patients.
CHICAS is a vibrant and diverse research group within the Lancaster
Medical School, comprising researchers into epidemiology, machine
learning, statistical genomics and spatial and longitudinal statistics.
The group has close ties to both the School of Mathematics and
Statistics, and the Lancaster Data Science Institute, both of which have
a reputation for excellence in statistical and computational research.
Lancaster Medical School is at an exciting stage of its development
having just been awarded its PMQ. Lancaster University is one of the top
ten UK universities (The Complete University Guide 2018) and the Times
University of the Year 2018.
Informal inquiries can be made to Dr Frank Dondelinger:
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We welcome applications from people in all diversity groups.
https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=A2222
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Lecturer in Biostatistics
Room B.06a, Furness College
Lancaster University
Tel: 01524594759
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