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12.11.2025, Wissenschaftliches Personal Join our team in a collaboration between TUM and Politecnico di Milano! Develop cutting-edge methods combining remote sensing, physics-based modeling, and
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by post to: Gottfried Wilhelm Leibniz Universität Hannover RTG 3158: Quantum Photonics Laboratory of Nano and Quantum Engineering Schneiderberg 39, 30167 Hannover Germany http://www.uni-hannover.de/en
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to undertake other tasks, which are broadly in line with the above duties and responsibilities. Requirements: university degree (e.g. Master) in aerospace engineering, electrical engineering, physics or related
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The Leibniz-Institut für Kristallzüchtung (IKZ) is a leading research institution in the area of science & technology as well as service & transfer of crystalline materials. Our goal is to enable
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: We are looking for a highly motivated and team-oriented student (m/f/div), who holds a Master degree in physics, engineering or quantum science and technology. Successful candidate (m/f/div) is
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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» Applied physics Technology » Medical technology Engineering » Biomedical engineering Computer science » Modelling tools Economics » Health economics Biological sciences » Other Researcher Profile First
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 4 hours ago
, psychology, medicine, neurobiology, computer science, engineering, mathematics, physics, neuroimaging, biochemistry, or related fields. The Master’s degree should have been awarded by an internationally
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the project The following publications are related to the work to be performed within this project: Your Profile: Excellent master`s degree in Chemistry, Physics, Engineering, Material science or a similar
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experience and knowledge in either of the following: materials science, biomedical engineering, chemistry, chemical engineering, materials engineering, engineering physics, applied mathematics, computational