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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 Location: Hradec Králové, Czech
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Positions Application Deadline 21 Oct 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Other EU
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that prioritise student learning in the age of AI. Job requirements You hold a PhD in Educational Science, Learning Sciences, Social and Behavioural Sciences, Engineering Education, Human-Computer Interaction or a
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Hours Per Week 40 Offer Starting Date 12 Oct 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number [FENG.02.02-IP.05-0157/25] Is the Job related to staff
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 12 hours ago
/2026/09/CSHub-Postdoc-Position-Description_Pavements-and-Infrastructure.pdf Job Requirements REQUIRED: PhD in Civil Engineering or a closely related field; expertise in several of the following: life
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of medicine and therapeutics within the Department of Pharmacology and Therapeutics based in the Institute of Systems, Molecular and Integrative Biology. This programme aims to develop causal inference models
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) Country Czech Republic Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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1 Sep 2026 Job Information Organisation/Company Institute of Philosophy and Sociology Polish Academy of Sciences Research Field Other Researcher Profile Recognised Researcher (R2) Positions PhD
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postdocs at the partner institutes and with TU Delft staff and PhD students working on HVDC, protection, wide-area stability and cyber-physical power systems. Progress is shared in regular consortium
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computing, cloud-based computing environments, workflow-management systems, containers, and/or software development practices. Experience with machine learning, predictive modeling, or artificial intelligence