734 computer-programmer-"https:"-"IDAEA-CSIC" "https:" "https:" "https:" "https:" "https:" "J" "J" positions at University of Sheffield
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of these optimal protocols. Funding Notes This project is for self or externally funded students only. References https://www.quantumbespoke.com/ View DetailsEmail EnquiryApply Online
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that they will be considered. For further Information, please email k.lohwasser@sheffield.ac.uk and T.Vickey@sheffield.ac.uk or look at the University’s website: https://www.sheffield.ac.uk/postgraduate/phd
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Information, please email k.lohwasser@sheffield.ac.uk and T.Vickey@sheffield.ac.uk or look at the University’s website: https://www.sheffield.ac.uk/postgraduate/phd. Further Information on the Particle
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and workshops to campus-based students, and to produce and mark assessments on core and optional modules across our Data Science UG and PGT programmes such as: Data Analysis; Big Data Analytics
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of high-energy theory, string theory, and modern mathematics, offering opportunities for both analytical and computational research within a vibrant international collaboration network. Please note: due to
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Overview An exciting opportunity has arisen for a highly motivated clinical trainee with a background in data science, to join our Motor Neurone Disease/Neurodegeneration clinical research programme
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opportunity to collect data in LMICs. Initial reading Dotse, J., Nicolson, R., & Rowe, R. (2019). Behavioral influences on driver crash risks in Ghana: A qualitative study of commercial passenger drivers
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routes and non-standard programmes. Operating within a central team, you will develop specialist knowledge of a portfolio of programmes and associated processes, working closely with department colleagues
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/week Duration: March 2026 – March 2028 Line manager: Professor &/or Senior Scientist &/or Research Fellow Direct reports: Professor &/or Senior Scientist &/or Research Fellow Our website: https
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-linear time costs in multi-alternative decision-making. PLoS Computational Biology, 18.10 (2022): e1010523. Tajima, S., Drugowitsch, J., and Pouget, A. Optimal policy for value-based decision-making