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-resistance models. Additional Information Benefits Labour conditions: Working hours: Full-time (37,5 hours per week). Starting date: Between November and December 2026, in line with the incorporation window
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help unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid planning and
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both amplitude and phase information, but traditionally requires highly coherent light and controlled laboratory conditions. Recent developments in incoherent holography make it possible to capture
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Global Change Group at Wageningen University and Research invites applications for a PhD position (4 years) in “Modelling non-CO2 greenhouse gas emissions from agriculture” starting in September 2026
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of data, expert knowledge, computational models, digital twins, and advanced artificial intelligence within a new intelligent decision-support framework. This position corresponds to Doctoral Candidate 15
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Uppsala University, Department of Information Technology Are you interested in probability theory, statistics, and mathematical modelling? Would you like to develop new methods for uncertainty
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will be to quantify how mixing aircraft with strongly differing performance characteristics affects safety, efficiency and capacity, and to develop the metrics and models needed to make those effects
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The overall aim of this PhD project is to understand the influence of climate-driven changes in vegetation cover and winter conditions on habitats and food webs of Arctic/alpine lakes. Climate change is
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real-world conditions. Change: We need technologies to measure and quantify changes in hand function due to daily life factors (sleep, stress, etc.…) and treatments/drugs in the home setting
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In this project, we develop a new mathematical framework to efficiently model multivariate systems during extreme events like floods, heatwaves, or financial crashes. This PhD position offers a