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programming skills and experience in classical mechanics or the dynamics of solar system bodies. The work to be carried out is suitable for a master's thesis in the field of planetary science or physics
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to commit themselves, their achievements and productivity to the success of the whole institution. At the Faculty of Mechanical Science and Engineering, Institute of Aerospace Engineering, the Chair of Space
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– Germany (www.walther-group.com ) Max Planck Graduate Center between MPI for Polymer Research and JGU Key words: Artificial Cells, Synthetic Cells, Chemo-Mechanical Feedback, pH Feedback Systems, pH Waves
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Chair and Institute of Man-Machine Interaction | Aachen, Nordrhein Westfalen | Germany | 2 months ago
systems in their operational environment, in the interaction and networking of machines, devices, and people, and in intelligent systems for space applications and on Earth. Digital Twins realised at MMI
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University of Freiburg (Uni Freiburg) | Freiburg im Breisgau, Baden W rttemberg | Germany | 3 months ago
of immunology and oncology with a strong focus on colorectal cancer (CRC) and the tumor microenvironment, including microbiome-driven mechanisms, murine and human organoid systems, and cutting-edge next
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and Manufacturing Processes (IMD-2), we work in a dynamic and international team of over one hundred materials scientists, chemists, physicists, mechanical engineers and technical staff
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mechanisms linking PP design features (e.g. deliberation, power delegation, participant selection) to decision quality, implementation, and on-the-ground sustainability impacts. Case search and AI-assisted
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editing to understand the molecular mechanisms underlying sex differences in disease. A particular focus will be on genes that escape X-chromosome inactivation in females, resulting in higher gene dosage
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11.02.2026, Academic staff The TUM Chair of Aircraft Design is looking for a doctoral researcher in the field of Ground and Flight Testing of eVTOL & fixed wing drones/UAVs. The research is targeted
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spatial omics data and to uncover the regulatory mechanisms driving cellular differentiation during vertebrate embryonic development. In this project, you will develop quantitative machine learning models