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team, which consists of the PI, a postdoc and three PhD students, occasionally assisted by student workers and experts from the external digitisation partner. For this function, our Brussels Humanities
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Knowledge of machine learning, Large Language Models (LLMs), Vision Language Models (VLMs), or generative AI Experience with Retrieval-Augmented Generation (RAG), AI agents, model-driven engineering, DevOps
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advanced experimental and modelling methods to better understand the behaviour of industrial lubricants under extreme operating conditions. Lubricants in gears, bearings and other mechanical systems can be
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 11 days ago
pathways in cellular and mouse models of metabolic diseases You will perform biochemical and cell biological characterization of protein localization and organelle interactions You will apply and further
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and dynamic regulation for GPAI governance. Topic 2 - Encoding ethical principles in model alignment. Topic 3 – Improving risk awareness in the use of GPAI. Topic 4 – Countering the malicious use
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. The following typical research topics serve as interdisciplinary links between the various fields of systemic neurosciences: single cells to complex systems system analysis to mathematical modelling perception
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content and job description] The successful candidate will contribute to the research on development of a global database on river levees and flood risk change projection (such as hydrological modeling and
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models (e.g., AlphaEarth, TerraMind) are currently being evaluated for different applications, but the inclusion of temporal components and newly available datasets in foundation models remains limited
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proficient in written and spoken English. Good programming skills (e.g. Python, R, or MATLAB) and previous experience with EEG/fNIRS/fMRI/eye-tracking/computational modelling are desirable. If any student in
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of these sensors. - Access to the laboratory's experimental characterization facilities. - A collaborative and multidisciplinary environment at the interface of theory, modeling, and experimentation. Scientific