403 programming-language-"HT---Human-Technopole" Postdoctoral positions in United Kingdom
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of English, both written and spoken Excellent command of Turkish and Ottoman Turkish Very good knowledge of at least one additional regionally relevant language (e.g., Greek, Hebrew, Ladino) Experience in
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and citizen action. They will also contribute into teaching in the interdisciplinary Creative Sustainability master’s program, and preparation of research funding applications in the NODUS Sustainable
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previous GEM initiatives, including the Inclusive Cities programme. You will have a passion both for academic research and for knowledge exchange with policy makers, NGOs, and other stakeholders and an
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programme grant with partners across the UK to facilitate the use of hydrogen for aviation, and in particular the icing vulnerability of heat exchangers and parts of the airframe. You will work to generate
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primary sources and related secondary literature in at least one the target languages is essential, although both languages is preferred. Ability to work with related materials in other languages is an
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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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Postdoctoral Research Associate in Medical Humanities (Affective Experience and Measurement) ( Job Number: 25000459) Department of English Studies Grade 7: - £38,249 - £49,559 per annum Fixed Term
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scientific discipline. Experience in developing and running an atmospheric transport model. Experience in interpreting data. Experience with FORTRAN and Python computer languages. Proven ability to work
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primary sources and related secondary literature in at least one the target languages is essential, although both languages is preferred. Ability to work with related materials in other languages is an
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of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, general pre-trained transformers, prompt engineering, knowledge graphs, knowledge