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An already acquired Phd in Electrical Engineering, Computer Science, Applied Mathematics, or a relevant field Affinity for formal and simulation models, as well as algorithmic solutions to problems
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contribute to developing this theoretical framework, with a strong focus on analytical modeling, computational methods, and the interpretation of learning signals embedded in physical structures. Recent
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collaboration with a PhD student at the faculty of Industrial Design Engineering of TU Delft. You will be working on the sensing system in the armband. This will include the sensing yarn, a microfluidics system
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daily with researchers at Toyota Motor Europe and the Toyota Research Institute, and co-supervise PhD students within the VISLab . Tasks and responsibilities: designing and developing compositional robot
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; automated and (semi)-continuous monitoring of the zooplankton community using imaging techniques and 3. vertical profiling; methods for continuous vertical profiling of the water column. In this project, we
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jihadist threats and examines the effects of these strategies on conflict stabilization or escalation. The research methods will combine qualitative cross-country and subnational comparisons with extensive
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-of… Requirements Specific Requirements You have successfully completed a PhD degree in urban/regional/spatial Economics; Computational science; (quantitative) Environmental Sciences, Complex systems engineering, or
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. The focus will be on enriching statistical methods through advanced machine learning techniques, for instance, by learning latent representations of the data. In addition to utilizing such techniques
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of this role, you will: collaborate with PhD-researchers across several universities working on ECCO-related topics develop your own leadership style, whilst working together with your fellow-postdocs
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, you will work on a DFG/NWO Weave Grant in collaboration with a PhD student, Dr. Claudia Fichtel (German Primate Center, Göttingen) and Professor Carsten de Dreu (University of Groningen). Your job