59 parallel-and-distributed-computing-phd research jobs at Aarhus University in Denmark
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with an interest in ecological applications. Required qualifications: PhD (or equivalent) in computer science, biology, software engineering, or a related field Strong proficiency in Python, including
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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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activities of the Department and faculty. Qualifications and Specific Competences The ideal candidate has: A PhD in Computer Science, Informatics, Computer Engineering, or a related discipline Strong
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and ecology, and biodiversity. The Department currently employs approximately 275 academic and technical staff, as well as PhD students, distributed at two geographical locations in Aarhus and Roskilde
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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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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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internal governance processes, including work package coordination, decision tracking, and follow-up actions across partners. Applicants must have: A PhD degree in a relevant field (e.g., quantum technology
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employees, 500 PhD students and 160 technical/administrative employees who are cooperating across disciplines. As a Postdoctoral researcher, you will be working at Aarhus University Hospital or another
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personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute