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with R, statistical and spatial analysis Excellent communication and teamwork skills Excellent organizational skills Experience with field work in post-disturbance forest conditions (desired) Experience
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exchange and interaction state of the art computing infrastructure (HPC) salary assigned according to the pay scale UKF standard social benefits, e.g. UKF job ticket UKF Your tasks: develop and optimize
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Fiske for any content-related questions you may have (a.fiske@tum.de) or our office team for any administrative-related questions (office.ethics@mh.tum.de, 089/4140-4041). To apply, please send a cover
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via the online application form by 05.08.2025. Alternatively, you can also send your application by post, quoting the reference number 134/25-1.1 to: Bundesanstalt für Materialforschung und -prüfung
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to supervise PhD, Master and Dr. med (thesis as part of medical studies in Germany) students. The fellow will also have the opportunity to teach as part of the institute’s Masters and doctoral program but will
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part of the School of Computation, Information and Technology (CIT) of TUM. The position is for 2 years and follows state regulations in accordance with the Collective Agreement for the Public Service
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to getting to know you! For questions regarding the position, please contact: Dr. Stefan Jennewein Head of Industrial Biotechnology Department Fraunhofer IME, Aachen E-Mail: stefan.jennewein@ime.fraunhofer.de
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environment in the fields of science, technology and administration as well as for the education of highly qualified young scientists. The computational imaging group at DESY is concerned with the development
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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
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doctoral degree in psychology, cognitive science, biology, computer science, medicine or an equivalent discipline Relevant research experience or interest in the field of “Decision Neuroscience