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. The ideal candidate holds a PhD in transport, operations research, civil engineering, or a related field, with strong skills in mathematical optimization and modelling (ideally in Python) and an interest in
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-preserving, single-camera markerless motion capture for clinical assessment and long-term home monitoring of motor impairments in stroke and Parkinson's disease patients. The position is based at TU Delft
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theoretically, in tight collaboration with experimental groups. The theoretical methods include stochastic modelling, MD simulation, and Bayesian inference; the position will also include joint collaborative
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project focused on developing an advanced machine learning framework for spatio-temporal datasets. The position is for 2.5 years and is partially funded by the Dutch Research Council (NWO) through
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), via the ACT website (https://www.esa.int/gsp/ACT/) . You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship You will take scientific
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-engineering activities, as well as the team’s other main research lines (for example AI for guidance, navigation and control, unconventional computing and mission analysis), via the ACT website (https
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PhD in Transportation, Environmental Psychology, Behavioural Economics, Computational Social Science, Industrial Ecology, Geography, Urban Studies, or a related field. Demonstrated expertise in choice
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The Leiden Institute of Advanced Computer Science (LIACS) at Leiden University is seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a
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availability, stability, quality, and sustainability of natural resources, enabling their preservation, sustainable use, development, or restoration. Our academic staff, PhD candidates, and MSc students focus
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fit to this project; An academic transcript of BSc, MSc and PhD education, including grades; Full Curriculum Vitae, contact information for at least two academic references, and if applicable, a list of