654 computer-science-programming-languages-"U.S"-"U.S" Postdoctoral positions in United Kingdom
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using in vivo models. The role will also include supporting the general program of research within the pre-clinical team. You will work in Containment level 2 and 3 facilities to assist with murine
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, paternity and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance Our commitment to Equality, Diversity and Inclusion As London’s Global University, we know
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About the role We are seeking a highly motivated and ambitious Postdoctoral Researcher to join the Translation Biology Research Group led by Professor Kerry Fisher and Alex Gordon-Weeks. The group
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to promote the language and enable our staff to engage with the language as an additional workplace skill and as a gateway to new cultural and social opportunities. Applications are welcome in Welsh and will
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exciting opportunity to contribute to a major regional innovation programme while working as part of a dynamic and supportive team within the Sir Peter Rigby Digital Futures Institute. This role will be
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science and technology. Join us! Please submit your application including the attachments mentioned below as one single PDF document in English through our online recruitment system by using the link
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to the study and teaching of the language and literature of ancient Greece and Rome, including Late Antiquity, as well as the late, medieval, and Neo-Latin language and literature. At the core of the program is
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Programme Manager, using the contact details below. Only online applications received before 12.00 midday on 29th August will be considered. Interviews will be held as soon as possible thereafter
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computer science, social science or cognitive science, strong quantitative and programming skills along with excellent communication skills and a collaborative outlook, including a willingness to help other lab
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with