463 assistant-professor-computer-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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Github • Using a range of computer systems to run fluid flow simulations and optimisation algorithms, including High Performance Computing architectures • Assist and mentor students and research group
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We are seeking a full-time Postdoctoral Research Assistant to join the Oxford Witt Lab for Trust in AI (OWL) at the Department of Engineering Science (Central Oxford). The post is funded by Schmidt
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Nikolaos Nikitas, Professor in Structural Dynamics and Engineering, Dr Raffaele De Risi, Associate Professor in Civil Engineering, Dr Evangelos Pournaras, Professor in the School of Computer Science and Dr
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University of Brighton | The City of Brighton and Hove, England | United Kingdom | about 1 month ago
" button. Accept Cookies Working here Job vacancies How to apply Frequently asked questions More ▼ Postdoctoral Research Fellow or Research Assistant in Neuroscience Brighton and Sussex Medical School
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regulation for future clinical and translational researchers. The appointee will provide day to day medical support for SCTU under supervision from the main supervisor, Professor Simon Crabb (Professor
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Location: Cambridge Campus. Research Assistant Salary: Grade R1 from £ 34,132 to £ 36,130 with potential to progress to £ 37,174 per annum. (Pro-rata for Part-time). Research Fellow Salary: Grade R1
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from the main supervisor, Professor Simon Crabb (Professor of Experimental Cancer Therapeutics). They will have responsibility for trial development and implementation and involvement in study protocol
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of Engineering, Design & Physical Sciences Full Time / Part Time Part Time Position: Research Assistant/ Research Fellow - 16791 Department/College: College of Engineering Design and Physical Sciences/Brunel
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Hardware Implementation”. This project is funding by the EU funding schema CHIST-ERA and comprises a European consortium. This consortium is led by the Centre for Secure Information Technologies (CSIT: https
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and