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. If English proficiency is not documented in the application, it must be documented before starting in the position. Who we are The Department of Ecoscience is engaged in research programs and advisory work
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data mining, data management, or machine learning conferences based on the research work. The project’s principal supervisor is Associate Professor Arijit Khan, Department of Computer Science. His
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the Novo Nordisk Foundation, that drives research and innovations at multiple levels - from developing scalable quantum processor technologies to solutions for the quantum-classical control and readout
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available from February 1, 2026 (or as soon as possible thereafter) for 12 months initially, with the possibility of extension up to three years based on performance. The successful candidate will investigate
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established with the ambition to become one of the leading research centers developing the theory of heterogeneous catalysis and electro-catalysis. This includes development of a fundamental understanding of
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on networks. The aim will be publishing several research papers at top-tier data mining, data management, or machine learning conferences based on the research work. The project’s principal supervisor is
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The Department of Animal and Veterinary Sciences is seeking a motivated postdoctoral researcher to join our international team working on animal welfare assessment and surveillance. We are looking
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they were emitted. The project will work closely with other projects working on discharge of oily matter into the marine environment. Responsibilities and qualifications Are you interested in improving
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Postdoc Position in Models of Quantum Programming Languages (Sapere Aude: DFF-Research Leader Pro...
The Department of Mathematics and Computer Science at the University of Southern Denmark, Odense, invites applications for a postdoctoral research fellowship in models of quantum programming
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. The Postdoc will conduct research on methods to enhance the performance, safety, and lifetime of lithium-ion batteries by integrating physics-based modeling with data-driven approaches. The work will include