26 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" research jobs at University of Sheffield
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for MND which could be translated into the clinic. The idea is to use cutting edge machine learning to create clinically actionable predictions such as the time from diagnosis to requirement for a
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. The overarching aim of the project is to use machine learning methods to understand why many people who are referred for treatment will drop out prematurely. To do this, two studies are planned. One will use a
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will contribute to developing know-how that can be used to generate a methodology based on physics-informed machine learning models for process development and optimisation. The project will validate a
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stem-like cell (GSC) models by sampling multiple distinct tumour regions to recapitulate their post-surgical and pre-therapy features, as well as their intra-tumoural heterogeneity (https://bit.ly
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Biomedical Research Centre Our website http://sitran.org For informal enquiries about this job contact: Professor Christopher McDermott (Professor of Translational Neurology, NIHR Research
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Statistical Analysis Plan guidance (APT-SAP)’ project (https://sheffield.ac.uk/ctru/current-trials/apt-sap ). Provide high-quality statistical advice and support to multidisciplinary research projects within
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the Light Microscopy Facility (https://www.sheffield.ac.uk/lmf). Wild-type and mutant lines will be crossed to transgenic lines of interest for live fluorescence imaging. There will also be the opportunity
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arrangement Part-time, 14 hours per week. Duration 01/01/26 - 31/12/26 Line manager Project Principal Investigator Direct reports N/A Our website https://sheffield.ac.uk/spir For informal enquiries about this
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arrangement: Part-time 0.6 FTE Duration: 8 months, commencing on 1st January 2026 Line manager: Principal investigator (Dr C Peng) Direct reports: N/A Our website: https://www.sheffield.ac.uk/architecture
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Professor Alicia O’Cathain, Lead for qualitative research in the project Direct reports Professor Alicia O’Cathain, Lead for qualitative research in the project Our website https://sheffield.ac.uk/scharr