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is funded by the Independent Research Fund Denmark. It involves a collaboration between SDU (Profs. Tobias Neher & Søren Krogh Andersen), Oldenburg University (Prof. Stefan Debener), the Eriksholm
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rehabilitation strategies. The position is funded by the Independent Research Fund Denmark. It involves a collaboration between SDU (Profs. Tobias Neher & Søren Krogh Andersen), Oldenburg University (Prof. Stefan
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candidates who are interested in joining our team as PhD fellow. The position is available from October 1, 2025, or as soon as possible thereafter. The Ravnskjaer lab is headed by Assoc. Prof. Kim Ravnskjaer
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; Collaborating closely with the ENGREENIT’s PhD candidate (starting 12 months later than the PostDoc researcher), supervised by the Assoc. Prof. Emil Draževic, and will jointly develop the heterogeneous
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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
/ ). The candidate is expected to support Prof. Katrin Vorkamp’s research in this centre, with possibilities for networking and exchange on PFAS. However, the candidate is also expected to contribute to Prof. Katrin
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program on DNA-encoded Chemistry funded by the Novo Nordisk Foundation and involves several research groups from SDU. The PhD fellowships are at the Nucleic Acid Center, SDU and available in the group
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group of Assoc. Prof. Marianne Glasius at the Department of Chemistry, Aarhus University, Denmark. Expected start date and duration of employment This is a 23 month position from 1 October 2025 or as soon
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
disciplines, and publish in leading journals Hold a full-time, paid position for 3 years with benefits and a structured PhD training program About the research group You will join the Biomimetics, Biocarriers
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Prof. Dr. Anja-Verena Mudring as a postdoc in the field of synthesis and characterization of advanced solid materials. Expected start date and duration of employment This is a 2.5–year (30 months
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operators, transformers/LLM) and NN training. Strong Python programming skills (as a plus: C++ or Julia) and knowledge of scientific computing libraries (numpy, scipy, JAX…) and machine learning libraries