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numerical modelling. Ability to participate in research meetings to troubleshoot research problems and discuss the direction of research. Skills Fluency in at least one scientific computer language (e.g., C
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or in national administrative or legal practice are of advantage. Excellent knowledge of German and very good knowledge of English (C1), knowledge of another foreign language is an advantage. You exhibit
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Control engineering (experience with nonlinear systems is a plus) Machine learning and deep learning in context of physical systems Programming skills are required, with Python experience preferred. A good
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defending the cultural value of knowledge for its own sake. You will also possess computational expertise in data mining and / or analysis, ideally including language processing, and be able to work with an
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of statistical programs (e.g. in Matlab, R or SPSS) German and English skills Proven ability to collaborate effectively, maintain performance under tight deadlines, and demonstrate a high level of commitment and
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colleagues in the research project, to assist with the research objectives, and identify areas for research. • To address any unforeseen scientific and numerical challenges. • To plan
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industrial experts. Nice to have: Proficiency in programming languages (Python, MATLAB, or similar software) for data analysis/model automation. Prior industrial collaboration or scale-up project experience
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housing. Ideally, the candidate will also have language skills and overseas fieldwork experience in a city in one of the project’s focal areas (Greece, Spain, Portugal, Romania, or the USA), experience in
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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Participate in meetings to discuss the AQPU plan together with the team Help your peers in solving their challenges in reaching the milestones including the supervision of BSc theses and possibly of PhD and MSc