186 computational-physics-"https:"-"https:"-"https:"-"https:"-"Dr"-"UCL" positions at DAAD
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the field of Process Engineering, Chemical Engineering, Chemistry (especially Physical Chemistry / Surface Chemistry), Physics, Mechanical Engineering, Materials Science, or a comparable discipline Experience
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the selection committee during the selection process, taking your work schedule into account. The period of funding must begin in 2026 (in July/August - depends on the programme region) and be completed by 31
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with a Master’s degree (or equivalent) in Biology, Biochemistry, Life Sciences, (Bio-)Physics, Chemistry, Computer Science, or related fields. Visit the IMPRS-LM website for more information about the
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available in the further tabs (e.g. “Application requirements”). Objective TheMuseumsLab is a programme for joint learning, perspective exchange, networking and career building among African and European
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) and/or by applying ultrafast X-ray tomography (e.g., ROFEX) Develop and further improve multi-sensor and imaging-based measurement methods to capture key process variables in different zones
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. The position will be funded by the DAAD Graduate School Scholarship program and will be awarded in a multi-step process. Detailed information about the application and selection procedure can be found
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme offers you the opportunity to continue your education in Germany with a postgraduate or continuing course
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available in the further tabs (e.g. “Application requirements”). Programme Description The international Leo Baeck Fellowship Programme awards grants to doctoral students who carry out research
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Description BioHYBRITE (Decoding and designing biomolecular systems with hybrid DNA:RNA:protein nanotechnology) is funded by the Marie Skłodowska‑Curie Actions (MSCA) Doctoral Networks programme and
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available in the further tabs (e.g. “Application requirements”). Programme Description The Jeff Schell Fellowship can be granted to MSc and PhD students from all fields of natural science and data science