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economy. As a postdoctoral researcher, you will unravel how silicon suppresses liquid copper infiltration at the atomic scale, using density functional theory-accurate machine-learned potentials and
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of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI implementation. Ability to apply AI to interdisciplinary research or developing AI models
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seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a research project investigating how visual foundation models can efficiently acquire new
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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Welcome to Maastricht University! You just finished your PhD trajectory and looking for the next step in your academic career? Your interests lie in the field of machine learning techniques
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/2026 Back to Search Postdoctoral Research Associate, Electrical Resistivity Tomography and Environmental Geophysics Posting Number req26727 Department Biosphere 2 Department Website Link https
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energy systems and demand response; process and energy system modeling; optimization and model predictive control; and applications of artificial intelligence and machine learning to energy systems
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evaluation with BER/throughput/bandwidth constraints). Demonstrated experience implementing research software (Python; and/or C/C++) and running simulation studies. Familiarity with modern machine learning
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collaboration with industrial and public-sector partners. We expect the candidate to publish in competitive machine learning, software engineering and security venues, such as Neurips, ICML, ICLR, ICSE, FSE, ASE
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practical knowledge of statistical and programming packages is mandatory, including R, Python, and/or SQL. Extensive experience with advanced statistical techniques and algorithms, such as Machine Learning