23 coding-theory Postdoctoral positions in Ireland-University-Ranking-2024 in Denmark
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observation and theory about human-environmental relations. The candidate will be responsible for a work package that investigates contemporary processes of cattle expansion in an historical hunting and
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. To address this issue, this project proposes and tests a new theory of how labour migration causes institutional change: Companies pursuing deviant business strategies can use labour migrants to overcome
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to think independently, in human-AI interaction. You will connect the project's technical work with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction
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behaviour change theory (e.g. COM-B, the Theory of Planned Behaviour, or the Value-Belief-Norm model) as applied to sustainability or circular economy contexts. Experience with citizen science, co-creation
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well as develop or apply coding skills (R/Python) for large-scale data analysis. Your job responsibilities As Postdoc in cardiorenal metabolism your position is primarily research-based but may also involve
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of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how
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listed on the page above are of interest to you. The list includes positions covering Groupoid C*-Algebras, Ideal Structure and KMS States, Probability Theory and Analysis. The list may be updated with new
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observation and theory about human-environmental relations. The candidate will be responsible for a work package that investigates contemporary processes of cattle expansion in an historical hunting and
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and KMS States, Probability Theory and Analysis. The list may be updated with new areas up until the deadline for application. As a successful candidate you are expected to: shine in individual and
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practical guidance for AI development or governance. To bridge this gap, our goal is to: (a) pioneer new normative criteria for AI explainability, drawing on theories of evidence and explanation in philosophy