122 data-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in Netherlands
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and fatigue) with objective physiological and biomechanical data. ASPIRE is a collaboration between the University of Twente and Saarland University, funded under the DFG-NWO WEAVE programme. As a
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analytical sample processing (lab work); A theoretical background in marine environmental physiology, biogeochemistry, and ecology; Willingness to experiment with new data collections; Excellent communication
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-disciplinary environment? Information Many of the most challenging problems in science and engineering involve physical systems that evolve over time while exhibiting rich mathematical structure. Fluid flows
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Postdoc in Application of eXtended Reality for Inclusive Automated Vehicle and Road User Interaction
design criteria for inclusive eHMIs. Develop accessible VR simulators for people with disabilities. Conduct VR experiments to collect data and model decision-making processes in AV–VRU interactions
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further develop our quantum simulation/computing approach. This includes experimental work with the tweezer machine, such as debugging and data taking, designing and constructing upgrades to the machines
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certification of quantum states in realistic experiments. By combining experimentally grounded models with theoretical tools from quantum information, open quantum systems, and the foundations of quantum physics
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. Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service , offers information on their website
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to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service , offers information on their website to help you prepare your relocation. In
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the Aspasia premium awarded to dr. Mitra Baratchi for her research on machine learning for spatio-temporal data. The successful applicant will be embedded in the Spatio-temporal Data Analysis and Reasoning
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to develop a new generation of traffic prediction methods, combining traffic flow theory with machine learning, and with that, the best of both worlds: theory and logic where necessary, data-driven where