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Do you bring together domain specific knowledge from the social sciences with a genuine, hands-on command of AI and/or digital methods? Would you like to advance research that integrates state
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AI-based monitoring and control more resilient. Studying the security and integrity of deployed ML models, so that AI-based decisions stay trustworthy when something goes wrong or is deliberately
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-edge interdisciplinary project aims to understand charge transport in the natural mineral feldspar, unlocking new ways of measuring the rates of Earth surface processes — from weathering and erosion
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subsurface processes, and you are motivated to work in depth with shallow groundwater in urban environments and the processes that control its spatial and temporal dynamics. You have experience with
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. The position is a full-time position. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further
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computational data processing applied to antimicrobial resistance (AMR)? Do you want to train the next generation of scientists in computational microbiology, while advancing applied research in computational
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supervision, facilitation of group processes, and development of PBL-based learning activities) will be considered an advantage. Candidates without documented PBL experience are expected to complete a PBL
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PhD fellowship in Experimental Quantum Computing PhD Fellowship in Semiconductor Spin Qubit Control and Quantum Error Correction NQCP, Niels Bohr Institute Faculty of SCIENCE University