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, use imitation learning algorithms to learn pick-and-place actions, design HRI experiments with users, evaluate data, and share the code and benchmarks in open repositories. This postdoctoral position is
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deadline 15th December 2025. You can submit your application by clicking the button below. Specific documents to be attached: Applications must contain (1) CV and copy of PhD degree (in swedish or english
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interests and a statement describing why you are interested in the position, curriculum vitae (CV) with publication list, verified copy of doctoral degree certificate or documentation that clarifies when
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to the instructions in the ad. The application must include: CV including relevant professional experience, knowledge and representative publications. Copy of diplomas and grades from your previous university studies
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for applying, and briefly describe the connection between your past research and the position (max 2 pages), Curriculum vitae (CV) with publication list, Verified copy of doctoral degree certificate
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submit your application by clicking the button below. Specific documents to be attached: Applications must contain (1) CV and copy of PhD degree (in swedish or english), (2) statement of scientific
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the position, curriculum vitae (CV) with publication list, verified copy of doctoral degree certificate or documentation that clarifies when the degree of doctor is expected to be obtained, verified copies
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vitae (CV) with publication list. In the publication list, provide a co-author contribution for a selection of maximally five publications, Verified copy of doctoral degree certificate or documentation
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experiments, and machine learning (ML) to understand and predict multiscale transport phenomena in fuel cell systems. In particular, the postdoc will bridge pore-scale simulations and macroscale performance
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the connection between your past research and the position (max 2 pages), Curriculum vitae (CV) with publication list, Verified copy of doctoral degree certificate or documentation that clarifies when the degree