6 bayesian-object-tracking Postdoctoral positions at Eindhoven University of Technology (TU/e)
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, rental platforms, and production systems—where decision-making must balance conflicting objectives, leverage real-time data, and ultimately support sustainable profitability. Examples include optimizing
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decision-makers experience and evaluate different urban scenarios in VR. Collect and process data from these sessions, combining objective indicators (e.g., space use, accessibility, emissions) with
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environments. Information This research focuses on advancing cutting-edge aerodynamic design methodologies to significantly enhance wind energy harvesting in urban settings. The primary objective is to develop a
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sub-project; a PhD track, focusses on the characteristics of transformative competencies to be achieved as learning outcomes, and pathways to identify that set, in co-creation with stakeholders
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) for materials design. Demonstrated experience in connecting physics-informed models with data-driven approaches. Background in optoelectronic, spintronic, or quantum materials is a strong plus. Proven track
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and machine learning for industrial image analysis (in thesemiconductor industry), B) Automatic geometric vessel tree tracking and analysis in medical image analysis applications, Assist in