29 big-data-and-machine-learning-phd Postdoctoral positions at University of Southern Denmark
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thermomechanical process simulations such as casting and welding. The research activities at SDU-ME spans widely from fluid mechanics, condition monitoring, machine learning, fatigue, maritime structures
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of POLIMA, which currently consists of two Associate Professors, two Assistant Professors, a Lab Manager, a Center Administrator, and app 10-15 PhD students, postdocs and visiting scientists. Several
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technical and data requirements. The collaboration with the interdisciplinary team, including experts in software engineering, artificial intelligence, and behavioral science, will facilitate evaluating
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(PV) materials at the nanoscale using electron beam spectroscopy techniques. Our goal is to acquire an in-depth understanding of the nanoscopic electronic structure and the role of defects in advanced
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The successful candidates should have the following qualifications: A PhD in Environmental Toxicology, Chemical Engineering, Environmental Chemistry, Materials Science, or closely related fields. Solid
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activities within the areas of embedded software. The position requires a PhD degree within a relevant area (e.g. software, computer, or control engineering) and the desired candidate is expected to have
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, the pharmacoepidemiological research group utilizes the world-class Danish registries as well as international data sources to assess pharmacological questions in large populations. The translational pharmacology group aims
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be jointly supervised by Professor Jørgen Ellegaard Andersen and Associate Professor Shan Shan at QM. Candidate profile We encourage applications from PhDs in mathematics and related fields who possess
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in the face of climate change. You will: Conduct ecological fieldwork at research sites in Sweden and Denmark. Collect and analyse phenological data using camera and drone-based imagery. Use genetic