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communicate predictions about human behaviour, contributing to trustworthy intelligent systems for high-impact applications. Job description Human behavior understanding is becoming an essential component
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Mathematics, or a closely related quantitative field. You love physics and complex systems and are either familiar with, or very eager to learn about, (road) network traffic flow theory and simulation. You are
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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Are you passionate about experimental aerodynamics and flow visualization? Apply for a PhD position that aims at transforming flow field measurements into aerodynamic forces by pressure and friction
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to learn about, (road) network traffic flow theory and simulation. You are interested in mentoring and supporting MSc and PhD students. You are a machine learning enthusiast (and realist). You love coding
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geothermal-induction theory. The candidate will be employed at TU Delft, but will also carry out work together with KNMI (at De Bilt, NL), and will be embedded in the lively Geothermal Theme of TU Delft
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on the volumetric component of the moment tensor and linking this, quantitatively, to the behaviour expected from geothermal-induction theory. The candidate will be employed at TU Delft, but will also carry out work
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Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about experimental aerodynamics and flow visualization? Apply for a PhD position
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Posting Details Position Details Title Post Doctoral Appointee (Technology Governance) Appointment Status Non-Tenure Track Department IU Workshop in Political Theory and Policy Analysis Location
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. About us At the department of Environmental and Energy Sciences and the division of Physical Resource Theory we identify, analyse and describe the major sustainability challenges of our time, with