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Job description: A Research Assistant / Associate position, funded by a Wellcome Trust Collaborative Award in Science, is available in the research group of Prof. Dylan Childs. The grant is led by
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the Institute of Sensor and Actuator Systems, in the Research Unit of Microsystems Technology, TU Wien is offering a position as project assistant (PhD position). The PhD position is planned for a total duration
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the opportunity to help build up the new Labour and Ecology working group at KU Leuven and to contribute your own topics. The central task is to write a project proposal with prof. Schaupp on the topic
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dr. Masha van der Sande , Prof. Marielos Peña-Claros , and dr. Peter van der Sleen . PhD project 2 will assess the physiological and morphological impacts of fires on trees in order to understand how
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 11 days ago
within a Research Infrastructure? No Offer Description Applications are open for 1 Research Studentship, within the framework of project/R&D institution BioCFiber – Bio-derived carbon fibers (2022.08091
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Erasmus School of Law, department Law & Markets, is looking for a fulltime PhD researcher in Circular Economy, Additive Manufacturing and Law (4 years). PhD project Circular Economy, Additive
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to address societal problems, and energy systems are an increasingly important application area. The student with be supervised jointly by Prof. Valentin Robu (also professor at TU Eindhoven) and Assist. Prof
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
/surface_science/index.php.en ). Collaborators: Uppsala Universitet, Sweden and Quintus Technologies AB, Västerås, Sweden This PhD position is part of the EU-funded project Print4 Life, a Marie Sklodowska-Curie
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Society. The Department of Machine Learning and Systems Biology led by Prof. Dr. Karsten Borgwardt is looking to recruit a highly-motivated PhD student (m/f/d) for the project Building Clinical Foundation
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/ML) models can offer a solution here. This project aims to determine to what extent AI/ML models based on electrochemical sensor data are able to identify and quantify local forms of corrosion. We