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At the Faculty of Medicine, Department of Health Science and Technology a PhD stipend is available within the general research programme: Biomedical Science and Engineering. The stipend is open for
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such as Google Earth Engine statistical modelling, machine learning, cloud/high-performance computing retrieving ecologically relevant environmental data from national to global databases research and/or
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as a change in how firms codify knowledge: prompts, models, workflows, and governance routines make some expertise executable while creating new burdens of evaluation, maintenance, and revision
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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 information Further information may be obtained
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populations. Apply Artificial Intelligence (AI) methods including deep learning (DL) models and supervised and unsupervised machine learning (ML) methods for integration and for Genome-2-Phenome (G2P) and risk
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populations. Apply Artificial Intelligence (AI) methods including deep learning (DL) models and supervised and unsupervised machine learning (ML) methods for integration and for Genome-2-Phenome (G2P) and risk
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department under the Faculty of Science & Technology at Aarhus University. Our work spans fields from physics, chemistry, microbiology, molecular biol-ogy, and mathematical modeling to social science
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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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more about AAU Energy and the research groups at AAU Energy: https://www.energy.aau.dk/ The mission is to be world leading in both research and research-based education of the energy engineers
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external research funding from national and international sources. Educational tasks involve teaching within the Medialogy program at the AAU Copenhagen campus. This includes delivering courses and teaching