117 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Southern Denmark
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. For further information please contact Professor Carsten Uhd Nielsen, e-mail: cun@sdu.dk Website: https://www.sdu.dk/da/forskning/farmaci-sektionen/forskere/researcherswithinsection/carsten-uhd-nielsen
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opportunities to explore the intersections between these disciplines. Read more here: https://www.sdu.dk/en/om-sdu/institutter-centre/fysik_kemi_og_farmaci/ominstituttet Application, salary etc. The successful
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for the human societies https://www.sdu.dk/en/forskning/sdu-climate-cluster . The work language is English. If the application is successful, the postdoc candidate will be based at SDU with opportunity of a
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intelligence, and research software engineering, and is interested in developing robust, transparent, and sustainable computational tools. Experience with first-principles electronic structure methods, machine
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of extrusion systems, reinforcement strategies, construction detailing, and construction scale experiments. RA3) Machine Learning and Optimisation for Digital Construction: Data-driven and simulation-based
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projects and execute these in collaboration with other colleagues. Preferably, the candidates have experience with: Robot control Safety-critical systems Machine learning and reinforcement learning
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(https://portal.findresearcher.sdu.dk/en/persons/ ). Eligibility: Mobility Rule: Applicants must not have lived, worked or studied in Denmark or at SDU for more than 12 months in the 3 years before 28
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that you are curious and willing to learn about the research areas at SDU Robotics. About SDU Robotics: SDU Robotics is a unit under the Maersk Mc-Kinney Moller Institute at the Faculty of Engineering, SDU
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Research associate (ATAP) in Mass Spectrometry and Protein Research - University of Southern Denmark
supporting our mass spectrometry and proteomics research in the context of the national PLATO research infrastructure (https://www.sdu.dk/en/forskning/plato ). This research scientist position is an exciting
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robotic research platform and an automated ‘Device Doctor’ for perovskite solar cells. The goal is to combine high-throughput experimentation, machine learning, and advanced modeling to accelerate device