43 parallel-and-distributed-computing Postdoctoral positions at Aarhus University in Denmark
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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied
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Are you interested in real-time distributed systems, IoT connectivity, and AI-driven automation? The Department of Electrical and Computer Engineering at Aarhus University invites applications for a
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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. The postdoctoral
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The Department of Computer Science, Aarhus University, invites applications for a full-time 2-year Postdoctoral position, starting 1 April 2026– or as soon as possible thereafter. Position and
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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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, plasticizers, chemical warfare agents, and their degradation products. In addition, our research examines the sources, transport mechanisms, distribution patterns, bioaccumulation processes, and transformation
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
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-on grant management in the Digital Europe Programme (DEP) (essential). Demonstrated ability to coordinate complex work across multiple partners and stakeholder groups, including managing timelines
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong