16 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" research jobs at University of Sheffield in United Kingdom
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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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information can be found on our Information for candidates page:- sheffield.ac.uk/jobs/candidates (opens in a new window).
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process and examine each case in its own right. More information can be found on our Information for candidates’ page: - sheffield.ac.uk/jobs/candidates (opens in a new window).
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with an appreciation of longer-term implications. Essential Application/interview Willingness to update and acquire new skills and knowledge in line with advances in the relevant subject area, including
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contribution Work arrangement Full-time (flexible-options considered) Duration 1st May 2026 - 31st Oct 2026 Line manager Research Fellow in Water Systems Microbiology Direct reports None Our website https
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an automatic bar to employment at the University of Sheffield. We recognise the value of steady employment in the rehabilitation process and examine each case in its own right. More information can be found
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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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Grade 6 Salary £32,080 - £36,636 per annum Work arrangement Full-time Duration Fixed term until 31 July 2026 Line manager Dr. Rob Deffley/Prof. Dan Cogswell Direct reports N/A Our website https
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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