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position as Assistant Professor for both research and teaching in the area of theoretical and computational physics. We are looking for applicants who have established a solid publication record, show clear
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project “ALPS - AI-based Learning for Physical Simulation”. Expected start date and duration of employment This is a 2–year position from 1 October 2025 or as soon possible. Job description You will be
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results with AI models and system simulations to create a digital twin of the PtX process for predictive optimization and scenario analysis. Funding This PhD position is generously funded through the Villum
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research and development projects). The candidate will implement a simulation framework to explore different configurations of management practices to reduce the impact of agricultural systems
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of Health and Medical Sciences. The PhD study must be completed in accordance with The Ministerial Order on the PhD programme (2013) and the Faculty’s rules on achieving the degree. The PhD student is
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innovative researcher with a passion for developing new computational tools and contributing to cutting-edge research at the intersection of Physics and Earth system science. Background and relevance
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The scholarship is a collaborative effort focusing on industrial design and optimisation of product assembly, quality inspection, and assembly process optimisation. It is expected to be a cross-disciplinary
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deliver the tasks inquired by the Ministry of Agriculture and Food based on the agreement of public consultant tasks. You will also teach and supervise students in our educational programme. Your main tasks