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, Development and Learning, and Advanced Behavioral Science Methods guide both research and education. The institute places great importance on fostering a safe and inclusive environment, with room for new
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. CML distinguishes itself for its attention to professional development in coordination with the interests of its scientists. As such, there are plenty of opportunities to learn new skills, expand your
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coordination with the interests of its scientists. As such, there are plenty of opportunities to learn new skills, expand your knowledge, collaborate across disciplines, and experiment in a friendly environment
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. The position is dedicated to research. You will have no teaching obligations, but there are opportunities to teach if desired. You will co-supervise thesis projects of BSc. and MSc. students related
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. Your home base will be the Jakobi Lab (https://cryoem.tudelft.nl) at TU Delft | Kavli Institute of Nanoscience. We are a multidisciplinary, international and diverse team of scientists with backgrounds
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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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engagement and outreach. A University Teaching Qualification (https://www.uu.nl/en/education/centre-for-academic-teaching-and-learning/teacher-development/utq-and-stq ) (UTQ) should be obtained during
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, machine learning, and network analytics. There are currently two vacancies open for this position. In your role as fulltime lecturer, you become part of a strong community of 90 researchers and lecturers
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selection procedure. For more information see https://www.tudelft.nl/onderwijs/opleidingen/phd/admission You enjoy performing research. You are independent, self-motivated and eager to learn. You are keen to
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supported in learning new techniques and broadening mathematical background. The candidate will have the opportunity to present their work at both national and international conferences and workshops