154 master-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" positions at University of Sheffield
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case studies, to our world-leading facilities. Our website is our primary channel for stakeholder interactions with the University and decision making about which university to apply to, attend
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Postgraduate Research Application form available here: www.shef.ac.uk/postgraduate/research/apply Please clearly state the prospective main supervisor in the respective box and select School of Allied Health
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Targets in Amyotrophic Lateral Sclerosis Using Patient-Derived Models and Single-Cell Multiomic Data" Host Institution: University of Sheffield Primary Supervisor: Dr Richard Mead Secondary Supervisors
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accessible measure of location. One option is to use skew versions of know distributions that leave the mode or median of the distribution at the origin. The main objective of this project is to explore, from
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University community includes special interest groups including the Nucleic Acids Institute and the centre for Single Molecule Biology at Sheffield, which additional experience, network and support. Main
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your skills and publications as an early career researcher, including mentoring, peer feedback, and a writing retreat targeted at early career team members. Main duties and responsibilities Collate
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learning and industrial applications. This 4-year PhD offers the opportunity to pioneer original ML research with a focus on physics-aware AI and transfer learning. You will be mentored throughout
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site through ensuring projects are delivered to the highest technical standards, upholding the AMRC’s international reputation for excellence. Main duties and responsibilities Leading the technical
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. Main duties and responsibilities Supporting the technical delivery for numerous concurrent projects, for a range of partners and funding bodies and internal stakeholders such as the AMRC leadership team
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bioinformatic pipelines and experience of phylogenomic analysis are also essential. Main duties and responsibilities Lead bioinformatic and phylogenomic analyses to identify and characterise HGT events across