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and Explainable AI is a plus; Analytical and creative mindset, with the ability to work independently and in teams; Excellent command of English; willingness to work in an international, multi-sector
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and Explainable AI is a plus; Analytical and creative mindset, with the ability to work independently and in teams; Excellent command of English; willingness to work in an international, multi-sector
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of materials related to e.g. climate change, modelling and design of railway systems, multi-scale modelling of pavement materials and structures, reuse of materials, structures and parts of structures
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Sciences, Human-Computer Interaction, Disability Studies, Social Sciences or a related field. Ability and willingness to work in a multi-disciplinary and multi-stakeholder team including working with people
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willingness to work in a multi-disciplinary and multi-stakeholder team including working with people with disabilities. Excellent research and design skills Proficiency in written and verbal English Fluency in
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patients. Investigating the best diagnostic strategies and treatment options. Exploring mechanisms of bleeding with innovative diagnostic tests, multi-omics, and fundamental research. Main endpoints include
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foundation for addressing key challenges in complex land systems research. As a postdoctoral researcher, you will work on synthesizing multi-source, multi-modal data into a coherent data infrastructure and
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can focus on learning for planning, risk-aware motion planning under uncertainty, learning of interaction models, multi-robot learning, multi-modal prediction models, or other related topics
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multi-data integration, such as of UAV-based radar data, which one of the other project partners will acquire. One focus area will be on the role of reinforcement learning, also linking to ongoing
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innovative diagnostic tests, multi-omics, and fundamental research. Main endpoints include: questionnaires on healthcare and patient outcomes, qualitative data on patient experiences, improved diagnostics