37 parallel-and-distributed-computing-phd positions at Aarhus University in computer-science
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, including experience with static program analysis. A PhD in Computer Science or a closely related field is required by the time of employment. Expected start date We offer full-time (37 hours/week) two-year
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Want to show what student life at the Department of Computer Science is really like – the good, the challenging and the fun? And do you know what makes content work for a student audience on
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possible thereafter. We are looking for someone with A PhD in Human-Computer Interaction, Computer Science, or a closely related field Strong technical skills with developing multisensory systems, especially
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The Department of Computer Science at Aarhus University (Denmark) invites applications for a 18-month Postdoctoral Research Fellow position focused on Human-Centered AI and Data Visualization
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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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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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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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one day a week on campus. Job description The computational biologist will be expected to: Lead the development of acoustic detection and classification algorithms for marine mammals. Evaluate algorithm
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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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in AI, bioinformatics, statistics, computer science, data science, machine learning, epidemiology, or related fields with a relevant PhD degree (required). Experience with analyzing large genetic data