250 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" uni jobs in Denmark
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knowledge of process systems engineering. The position aims to advance physically consistent and predictive thermodynamic modeling, including the integration of advanced machine learning methods, to support
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computational biology with a strong focus on development of computational and statistical methods, particularly within machine learning and artificial intelligence. The applicant must have earned a PhD degree and
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support schools, day-care centres, and youth education in creating conditions for engagement, learning, and mental health. The role of psychology in policy and governance, including how psychological
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, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction
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. Please refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural
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Tenure Track in Sensory and Consumer Science at Department of Food Science, Aarhus University, De...
aligned to the Science Team ‘Food Quality Perception and Society’ (FQS) at the Department of Food Science http://food.au.dk/en/foodresearch/science- teams/food-quality-perception-society/. The Science Team
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related areas Have an interest in life-long learning. The department’s teaching responsibilities comprise undergraduate and graduate teaching as well as teaching in executive education and doctoral
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-Based Learning approach, the position also includes supervision of project groups and individual students. As part of the appointment, you are also expected to complete the university’s pedagogical
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. AT-CERE is closely connected with the center CERE of DTU (www.cere.dtu.dk ) and KT Consortium (https://www.kt.dtu.dk/research/kt-consortium ) which is a cross-disciplinary and cross-center activity of
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flexibility orchestration Scalable data and machine learning pipelines Digital twin architectures for cyber-physical energy systems AI-based energy system modeling, simulation, and optimization Secure and