160 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" positions at University of Sheffield in United Kingdom
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Overview An opportunity has arisen for an experienced image analysis and computing scientist with experience in both classical image processing and artificial intelligence to work as part of
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Overview Applications are invited for the post of Programme Manager to lead operational delivery of the EPICGB Programme – Early Phase Interventions Centre for Translation in Glioblastoma, a
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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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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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, with an active programme of seminars and a journal club. Funding Notes This project is for Self-funded students or students with external funding. References https://gravity
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Stafford, at the University of Sheffield is leading a substantial research programme that will advance the translation of new medical device technology based on nanoscale hydroxyapatite, to address the unmet
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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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the School of Allied Health Professions, Pharmacy, Nursing and Midwifery (https://www.sheffield.ac.uk/ahpnm ), you will join a vibrant community of teachers and researchers building the discipline of Pharmacy
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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