363 computer-programmer-"https:"-"UCL"-"https:"-"https:"-"https:"-"https:"-"IFM" positions at University of Sheffield
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, hardware, and expertise) as required to advance relevant fields of research. Plan and control change initiatives that enable the AMRC Composites Centre to consistently increase research turnover, strengthen
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experiments and data analysis. Analyse and accurately record data to aid the design of future research and produce useful findings for other academics, funders, policy makers and practitioners. Plan and prepare
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Dynamic skewness in longitudinal data models School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Miguel Juarez Application Deadline: Applications accepted all year round Details Panel (longitudinal) data enables learning the dynamics and relations of (groups of)...
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view to future translation to clinical practice. Work plan The project will progress in three phases, each of which are expected to lead to a published paper led by the student: Year 1. Development
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Award at the University of Sheffield. Modern engineering relies heavily on computational models that predict how structures behave under real operating conditions. These models simulate how assets such as
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the recruitment process It is anticipated that the selection process will take place during March 2026. This will consist ofan interview. We plan to let candidates know if they have progressed to the selection
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How does a molecule walk? Computer simulations of molecular machines in action
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BBSRC Yorkshire Bioscience DLA Programme: Paraspeckle condensates in cell health, stress and disease - what can structural studies tell us?
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data analysis to determine the most effective targeting of activities and resources using traditional and digital recruitment methods. Plan and deliver projects in collaboration with regional and
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background in physics, engineering, mathematics, or related quantitative discipline Interest in biological systems and interdisciplinary research Experience or willingness to learn computational modelling