379 programming-language-"HT---Human-Technopole" Postdoctoral positions in United Kingdom
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, under the direction of Prof. Sam Wolfe. It is essential to have a first degree in Linguistics, Modern Languages, Psychology, or a related discipline, possess or be very close to obtaining a PhD in
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the Crown of Aragon. The ability to work with primary sources and related secondary literature in at least one the target languages is essential, although both languages is preferred. Ability to work
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. Previous experience of working in an international and/or interinstitutional research environment. 3. Ability to speak languages relevant to the project, in addition to fluency in English. 4
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in MATLAB, Python, or other relevant programming languages Motivation to work with animal models Self-motivated, ability to work independently and in a team, willingness to conduct out-of-working hours
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Postdoctoral Research Associate in Visual and Material Medical Humanities ( Job Number: 25000387) Department of English Studies Grade 7: - £38,249 - £45,413 per annum Fixed Term - Full Time Contract
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The Role Applications are invited for a Postdoctoral Research Associate in Mathematics with a particular emphasis on the p- adic Langlands programme and related areas. The research project , led by
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software good written and spoken English language skills excellent German language skills Further desirable qualities are... experience in research management didactic skills / experience in e-learning
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, especially since the 1960s, would be desirable. Further requirements: Excellent command of English and knowledge of at least one other foreign language. Team player with high social/communication skills What
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statistical and machine learning to real life problems, using a popular computer language (e.g. Matlab, Python), and familiarity with topological and geometric data analyses. Candidates will have excellent
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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring