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Field Computer science Engineering Information science Technology Researcher Profile Recognised Researcher (R2) Application Deadline 31 Dec 2026 - 23:59 (UTC) Country Japan Type of Contract Permanent Job
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cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description - Conduct design research into material culture, scientific
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substantial funding for access to state-of-the-art AI models and computing infrastructure. About you We are interested in candidates with expertise in one or more of interactive theorem proving, formal
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literature reviews to support model refinement and tool development Prepare and submit a minimum of one peer-reviewed manuscript to a health informatics or health services research journal Present research
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innovative models to improve farm performance and decision-making Drive impactful research that shapes the future of Australian agriculture About CSIRO As Australia's national science agency, CSIRO is solving
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 7 days ago
Date 15 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 7 days ago
Date 15 Oct 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe Reference Number 101137398 Is the Job related to staff position within a Research Infrastructure? No Offer
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reports. Job Requirements: PhD in Physics, Applied Physics, Plasma Physics, or related field. Demonstrated experience in scientific computing and numerical modelling (e.g., Python/C/C++/Fortran). Experience
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of placental function and reduce the risk of stillbirth. This post forms part of the internationally funded Wellcome Trust programme, which aims to develop new approaches to measure, model and predict pregnancy