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executed. In close collaboration with PhD researchers and project partners from TUM and ETH, you will contribute to the development of novel control and learning methods for aerial manipulators and multi
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interest in societal impact. You have: Must have criteria: a PhD in computer science, artificial intelligence, data science, computational social science, urban analytics, geoinformatics, or a related field
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radiolabelling methods; - involvement in design of a new radiometal laboratory; - publishing results in leading international journals and presenting at international conferences; - supervising MSc and PhD
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of foundations. You will work closely with academic staff, PhD candidates and project partners. Depending on the needs of the projects and your background, your activities may include: Conducting literature
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learning to understand and predict the behavior of cardiovascular tissues and organs across scales. You will work closely with PhD students, MSc students, and international VITAL partners. This is a full
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Specific Requirements You are an ambitious, curiosity-driven and collaboration-oriented plant scientist, with: a strong academic track record and a PhD in plant biotechnology, plant molecular genetics or a
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together researchers from TU/e, the University of Twente, and Maastricht University. Working closely with a PhD candidate and the project's supervisory team, you will design, train, and iteratively refine
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, ECCV) and represent the lab at international meetings; help shape the research agenda, co-supervise PhD and MSc students, and contribute to proposals and collaborations (e.g. with industry and clinical
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: A PhD degree in Materials Science and Engineering or a closely related discipline. A strong background in physical vapor deposition and chemical vapor deposition will be a clear advantage. An
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who thrives on challenges. You will be a strong candidate if you have: A PhD degree in Materials Science and Engineering or a closely related discipline. A strong background in metallurgy, galvanization