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and energy systems, you will combine transport simulation models (e.g., SUMO) with power grid tools (e.g., OpenDSS) to build a co-simulation environment based on real-world data. The outcomes of your
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data in the context of multigenerational families. · (Co-)developing predictive models based on very large registry, medical, social/environmental, and molecular data, aimed at predicting health
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, information and communication technologies, and preferably cyber security. Completed a PhD degree in a highly quantitative and analytical related discipline (electrical engineering with an emphasis on power
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network, and develop expertise at the intersection of systems modeling, sustainability, and industrial practice. Job requirements A PhD in systems engineering, industrial engineering, operations research
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Medical Center Utrecht (UMCU), Altrecht GGZ, and Avans Hogeschool. The project aims to explore how normative modeling and EEG-based brain monitoring can support early detection and personalized treatment
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provides an excellent environment to publish, expand your professional network, and develop expertise at the intersection of systems modeling, sustainability, and industrial practice. Job requirements A PhD
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conditions. To achieve this, the project explores advanced machine learning approaches, including surrogate modeling and reinforcement learning, to accelerate CFD optimization and enable adaptive control
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-based interventions that support healthier, more inclusive cities for younger generations. Your qualities You hold a PhD in Human Geography, Urban Studies, Transport Planning, Sociology, Anthropology
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of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In
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(PHM) for aerospace operations and maintenance, with strong expertise in sensor fusion, stochastic modeling, and machine learning. Your role: Design, build, and commission a laboratory test bench for