486 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at University of Sheffield in United Kingdom
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arrangement Full-time Line manager Student Systems Team Leader Direct reports None Our website https://www.sheffield.ac.uk/it-services/about (opens in new window) For informal enquiries about this job contact
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The Japanese Long-Baseline Neutrino Programme (T2K, Super-Kamiokande and Hyper-Kamiokande) School of Mathematical and Physical Sciences PhD Research Project Competition Funded UK Students Dr Patrick
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candidates for this project should have a strong background in Applied Mathematics, Engineering, Physics or other related disciplines. Full details of how to apply can be found at the following link: https
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. The successful candidate will take forward their own programme of transformative research in the engineering and applications of novel biomedical sensing technologies that are underpinned by state-of-the art
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an interdisciplinary supervisory team and an established Advisory Programme. The student will join the well-funded and friendly Whitfield lab (see blog). Please apply for this project using this link: https
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of the service, using internal and external data sets (e.g. curriculum data, the data that underpins regulatory compliance by the Office for Students and programme and module surveys) to help develop services
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careers. Visit http://www.sheffield.ac.uk/sgs to learn more. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes First class or upper
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molecular detail. You will use a combination of structural computational/artificial intelligence approaches, protein biochemistry and single-molecule techniques, such as optical tweezer assays and single
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will also be considered. References Korsós et al., ApJL 802 L21 (2015) https://iopscience.iop.org/article/10.1088/2041-8205/802/2/L21 Korsós, Chatterjee, Erdélyi, ApJ 857 103 (2018) https
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by combining computational modelling of tumour response with pre- and post treatment functional magnetic resonance imaging (MRI). The pre-treatment MRI will be used to personalise the model