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motor behavior analysis. Technical experience with imaging, molecular biology, immunohistochemistry, in situ hybridization are also highly valued. Technical experience with embryo electroporation and /or
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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growth by metalorganic vapor phase epitaxy and developing AI approaches for deterministic synthesis to achieve n- and p-type conductive AlN and related UWBG Al containing alloys. Doping and processing
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Worldwide R&D Projects. Previous experience in one or preferably more topics from these areas is considered a merit: -Multi-modal data processing for decision-making in natural environments -Terrain
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on personal abilities. All employees at MDU are expected to cooperate and treat colleagues and students with respect, take responsibility for the organisation and their own work duties and contribute to a
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digital twin framework, adaptable to: The level of detail available for ship modelling, The quality of risk-related data, and Quantified model and data uncertainties. The project will advance knowledge
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pancreatic slice physiology using imaging and functional assays The group is part of SciLifeLab and the Wallenberg Center of Molecular and Translational Medicine (WCMTM), and maintains an active network
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integrity in the design process calls for a technical model of the product concept, i.e., mathematical models of the product and its in-service environment, which inevitably must incorporate the influence
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Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC
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research. The methods of our investigations are also diverse and complementary, and range from theory and computer simulations to experiments in subatomic physics. The Plasma Theory group within the Division