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10 Apr 2026 Job Information Organisation/Company CNRS Department INSERM U960 - LABORATOIRE DE NEUROSCIENCES COGNITIVES Research Field Neurosciences Psychological sciences » Cognitive science
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knowledge of large language models and prompt engineering is a plus Interest in explainable AI and interpretability of modern ML systems Domain knowledge in agriculture is optional but beneficial Ability
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quantify model uncertainties For further information visit our website http://www.fz-juelich.de/ibg/ibg-3/EN/Home/home_node.html or contact us via the contact form. Your Profile: Master’s degree in
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publications b) assessment of skills and knowledge in the field of: - Natural substances with cytoprotective activities - Cellular models used for the evaluation of cytoprotective effects - Methods used
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. Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn). Working knowledge of SQL and relational databases. Familiarity with at least one ML or deep learning framework (e.g
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(positive, negative, and cognitive symptoms). This model is based on a complex combination of factors (genetic and environmental), conferring a high relevance in light of current knowledge on the etiology
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website about knowledge security. Please do not contact us for unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/360166/postdoc-resilient-and-regulator… Requirements
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. Department of Cybernetics https://cmp.felk.cvut.cz/~svoboda/ Short description Robust machine control assumes modeling of robot-environment interactions. An example may include an outdoor autonomous ground
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generation for training ML models. Experience with differentiable rendering, neural radiance fields, or analysis-by-synthesis approaches for 3D reconstruction. Knowledge of cryoET software tools (IMOD, Warp