276 data-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
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information exchange. In this project, you will explore different facets of the following problems • Geometric interpretation of a distributed nonlinear controller in terms of controllability and reachability
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experimental manufacturing data. Thermoplastic overmoulding is an advanced composites manufacturing process combining stamp forming of aligned, continuous fibre composites (CFCs) and injection moulding
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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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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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. Requirements: 1st or 2:1 degree in Engineering, Physics, Mathematics, or other Relevant Discipline. For further information please contact Dr Jose Curiel-Sosa (j.curiel-sosa@sheffield.ac.uk) Funding Notes
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& Castello, 2024). Applicants will also likely draw upon seminal frameworks to help make sense of the data, such as that of legitimate peripheral participation (Lave & Wenger, 1991), and upon writing on AcLits
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fusing physics-based modelling with data-driven learning, the digital twin will enable accurate real-time assessment of structural condition, improved prediction of degradation, and reliable estimates
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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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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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of effective & efficient healthcare interventions. You will design and deliver cost-effectiveness and budget impact analyses, analyse healthcare cost and outcomes data, and develop decision-analytic models