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; Teaching (max. 10% of your time). You will work at the Department of Sociology in a well-integrated team of researchers. The supervisory team will consist of Prof. dr. Anne-Rigt Poortman and Dr. Anne Brons
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Prof. João Pereira dos Santos, Assistant Professor 4. Fellowship Activities Plan: Portugal is currently facing a deep housing paradox: more than 723,000 dwellings were declared vacant in the 2021 Census
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disciplines. This project has been funded by the Dutch Research Foundation (NWO) through an Open Competition M grant awarded to prof. Christian Burgers. Therefore, the successful candidate is also expected
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, and IP (prof. Rudi Bekkers and dr. Emilio Raiteri). This PhD project is also part of a larger, NWO-funded project on Additive Manufacturing in repair and remanufacturing (ADD-ReAM), which includes, in
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second half at the DLR for the development and implementation of high-resolution gas spectroscopy. The PhD candidate will be scientifically supervised by Prof. Dr. rer. nat. habil. Heinz-Wilhelm Hübers
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quantified, and machine learning will be used. Duties As a PhD student, you will work toward a doctoral degree as the final goal, according to the goals specified in the Higher Education Ordinance. In parallel
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supervised by Prof. Dr. Suzan Verberne and Dr. Niki van Stein at the Leiden Institute of Advanced Computer Science (LIACS), Leiden University. The focus is on explainability for multimodal foundation models
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with a topic within the scope of the research project Preparation, implementation and analysis of an empirical data collection (e.g., development of behavioral paradigms for assessing social learning
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 16 days ago
not strictly required. Skills or interest in MRI processing (especially diffusion MRI), biophysical neural modeling, and machine learning are welcome. What we offer The Institute offers a world-leading
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the supervision of Prof. Massimo De Vittorio. You will be a part of the IDUN Center of Excellence, led by Prof. Anja Boisen at DTU Department of Health Technology (DTU Health Tech). IDUN is a highly cross