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Excellent knowledge and experience in programming Python Excellent knowledge and experience in machine learning Excellent ability for cooperative collaboration Very good command of written and spoken
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Machine Learning Methods for the Prediction and Correlation of Thermophysical Properties
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Scientific machine learning methods for trustable accelerated materials characterization and
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Primary supervisor Enes Makalic Research area Machine Learning We are interested in understanding genetic variation among individuals and how it relates to disease. To do this, we study genomic
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Primary supervisor Enes Makalic Research area Machine Learning We are interested in understanding genetic variation among individuals and how it relates to disease. To do this, we study genomic
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) English (United States) MY PROFILE / LOGIN > More Search Options Loading... Clear Create Jobalert Apply now » City: Darmstadt Date: Sep 8, 2026 Master Thesis Machine Learning for retired Lithium
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Übersicht PhD position on engineering of machine perfusion platforms for organ and tissue culture 100%, Zurich, fixed-term Drucken The Macromolecular Engineering Laboratory (Prof. Mark W. Tibbitt
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Your tasks Examine how AI-literacy frameworks cultivate individual and organisational absorptive capacity in public bodies and support regulatory learning. Use case studies and pre/post assessments
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deployment in applications. This project aims to develop a physics-based, self-learning BMS tailored specifically for Li-S batteries. The research will combine physics-driven models with machine-learning
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Partnerinserat Übersicht PhD Positions - Max Planck ETH Center for Learning Systems (CLS) 100%, Zurich, fixed-term Drucken In our highly competitive CLS doctoral training program, fellows are co