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. NeuroTune is a joint initiative of the Faculty of Life Sciences and the Faculty of Medicine at Leipzig University. This collaborative spirit, woven into the fabric of the programme, distinguishes the Research
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; Individualized mentoring A qualification program tailored to academic as well as professional career paths. The positions are limited up to 3+1 years, starting 1 April 2026; salaries are predicated on the German
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the vertical flux of organic matter in different oceanic regions. This will include the use of in situ camera systems, sediment traps, and bio-optical platforms to quantify particle abundance, size distribution
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Description Within the Collaborative Research Center “Wave phenomena – analysis and numerics” (CRC 1173) we are currently seeking to recruit, as soon as possible, a Doctoral Researcher (f/m/d – 75 %) in Mathematics for the project “Quantized vortices and nonlinear waves” The CRC has been funded...
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research environment For inquiries, please contact: Univ.-Prof. Dr. Friedemann Kiefer, fkiefer@uni-muenster.de Apply now via our career portal until 30.07.2025, including: Cover letter describing your
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regarding the position, please contact Prof. Dr. Renata Motta via hcias-jobs@uni-heidelberg.de . Further information on the HCIAS can be found at www.hcias.uni-heidelberg.de/en . We look forward to receiving
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for multimodal inferences, combining computer-vision, environmental parameter measures and DNA data. Your role will be central in data acquisition and foremost machine-learning models creation. You will
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available in the further tabs (e.g. “Application requirements”). Programme Description The Cusanuswerk offers fellowships to particularly gifted students and doctoral candidates of catholic faith from all
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available in the further tabs (e.g. “Application requirements”). Programme Description The programme is intended for highly qualified scientists and scholars of all disciplines from selected developing
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scientific journals and conferences Your Profile: A doctoral degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural