613 computer-programmer-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Sheffield
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Magnetic Nanodevices for Energy-Efficient Neuromorphic Computing (S3.5-CMB-Hayward) School of Chemical, Materials and Biological Engineering PhD Research Project Competition Funded Students
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. Attend international conferences, and give talks on the work of the research group. Plan own research schedule and workload within the project schedule to ensure that the overall project milestones and
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computational modelling to explore structure/activity relationships. The project offers a unique combination of experimental and theoretical catalysis, providing a strong foundation for careers in both academia
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only. Intakes are usually October and March annually. NB The University has some scholarships under competition each year. More details can be found - https://www.sheffield.ac.uk/postgraduate/phd
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students only. Intakes are usually October and March annually. NB The University has some scholarships under competition each year. More details can be found - https://www.sheffield.ac.uk/postgraduate/phd
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research. Plan work effectively, including availability of resources (equipment usage), liaison with technical staff, deadlines, project milestones and overall research aims, and report to line manager(s) on
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medicine in neuroscience and neuromuscular research and development. Moreover, you will be embedded within the vibrant, multi-disciplinary Integrative Musculoskeletal Biomechanics (IMSB, https
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training in molecular plant-microbe interactions, epigenomics, and computational biology. You will gain hands-on experience in plant disease phenotyping, genetic transformation, and high-throughput
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& professional services) Essential Application/Interview Excellent organisational skills with the ability to prioritise demands, manage your own resource requirements and plan and progress work activities in
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Combining Experimental and Computational Biophysics to Understand the 'On/Off' Switches of Cellular Machines (C3.5-MPS-Ciani) School of Mathematical and Physical Sciences PhD Research Project