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We seek a research assistant for a 9-month position, primarily focused on preparing for and, if possible, progressing into a fully funded 3-year PhD fellowship as part of the Novo Nordisk Fonden
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The Department of Computer Science at Aarhus University invites applications for a 24-month Postdoctoral Research Fellow in Explainable AI interested in interdisciplinary research between
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for postdoctoral fellowships in computer science with emphasis on the area of formal methods, in connection with topics that include (but are not limited to) computational complexity, distributed systems, human
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Department of Computer Science at Aarhus University (Denmark) invites applications for a 4-month Postdoctoral Research Fellow position with focus on Cryptography. The starting date is November 1st
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Postdoctoral Researcher in Ability-Based Tailoring of Interactive Devices at Department of Comput...
developing optimization-driven approaches to multimodal device tailoring. We are looking for someone with A PhD in Human-Computer Interaction or a closely related field Strong programming skills (e.g., Python
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developing optimization-driven approaches to multimodal device tailoring. We are looking for someone with A PhD in Human-Computer Interaction or a closely related field Strong programming skills (e.g., Python
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The Section for Software Engineering and Computing Systems, at the Department of Electrical and Computer Engineering (ECE), invites applicants for a one-year postdoctoral position within the area of
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. Your competencies You hold a PhD degree in mechanical engineering or a closely related field, and you have a strong background in solid and computational mechanics. You have solid experience with finite
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Role Description This is a full-time (37 hours/week) on-site role located at Åbogade 34, 8200 Aarhus N, Denmark for a Postdoctoral Fellow at the Department of Computer Science, Aarhus University
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fluid dynamics, for example STAR-CCM+ or OpenFOAM. Experience with reduced-order modeling and machine-learning-based surrogate models. Experience with high-performance and parallel computing. Familiarity