620 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" uni jobs at University of Sheffield
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protocols, and analysing data, and who is motivated by translational work that is intended to function in real patients rather than remain as a laboratory demonstration. Entry requirements Candidates must
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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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audiences Essential Application/interview Ability to coordinate information and liaise with a range of stakeholders, including academics, community groups, and partner organisations Essential Application
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series of qualitative and quantitative methods were used resulting in a significant data set which has informed a series of academic papers and reports. The team is now moving to the final output
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on AI / machine learning approaches, data integration, and evaluation protocols, ensuring alignment with OMAIB’s open research principles and deployment-centric focus. Contribute to the creation, curation
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, particularly gene and protein expression analysis in neurons and immunohistochemistry. Keep excellent scientific records and analyze and interpret experimental data, prepare reports and participate in conference
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computer scientists how to process speech with computers and how to build speech-based technologies. Dr Anton Ragni of the SpandH group is responsible for teaching speech processing and speech technology
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an iterative approach where: Biomechanical Modelling: Data from observational and experimental work will inform and constrain comprehensive biomechanical models of nanostructure formation. These models will
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information and advice about how to tackle technical tasks, using in-depth knowledge of the University’s infrastructure. Maintain good relationships with contacts in departments to inform them about work being
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the prediction of failure on modern composite structures. This research will benefit from excellent computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities