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. Publish findings at the intersection of AI, perception, XR, and universal design. We are looking for a candidate who: has a strong background in machine learning, computational perception, XR, HCI
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Job Description Do you want to design the microbial foods of the future? You will use metabolic engineering, advanced analytics, machine learning, and fermentation technologies to create novel, well
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Institute at https://www.food.dtu.dk/english If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your
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. The project is conducted in collaboration with the deep probabilistic programming group of Thomas Hamelryck : https://di.ku.dk/english/research/groups/machine-learning-in-biology/?pure=en/persons
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optimization, machine learning, renewable-energy integration, experimental testing, or hardware-in-the-loop implementation would be an advantage. You are not expected to have expertise in all of these areas
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anchored at the department Teach at the BEng, BSc, MSc and PhD level in specialized courses as well as the core courses that constitutes the foundation of the engineering physics education Your
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information about IME, please see https://www.sdu.dk/en/ime . Further information for international applicants about entering and working in Denmark. You may also visit WorkinDenmark for
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N2O from wetlands. We envisage combining process-based modelling and machine learning, as well as integration of Earth observation data into the modelling framework. The objective is to quantify the
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materials, and the methods include DFT-simulations, machine learning potentials, Monte Carlo simulations and statistical analysis. We enjoy a close collaboration with experimental groups, both at the
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-motivated-language-model-security/ , and an Erasmus+ project on AI-based Personal Language Learning Assistants in collaboration with VSKDansk https://www.brondby.dk/om-kommunen/nyheder/2025/08/vskdansk-far