25 evolution "https:" "https:" "https:" "https:" "https:" research jobs at Delft University of Technology (TU Delft) in Netherlands
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neuroimaging frontier! Job description Understanding how the brain works is one of the most profound scientific challenges of our time. To that end, the development of new imaging methods is one of the most
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industry collaborators. The project involves technical development at the department of ImPhys, faculty of Applied Sciences, in very close colaboration with the Microelectronics Department of the Faculty
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cost is essential for a sustainable energy and materials system. Cost reduction will come from cheaper electricity, innovation, market growth, scaling, standardisation, and supply chain development
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on practical experience. The questions it aims to answer primarily concern the development and optimization of large-scale reef restoration methods. To this end, we will actively initiate and facilitate reef
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collaborate with microscopy scientists on data aquisition questions. We’re looking for someone with excellent software development and object-oriented programming skills, ideally with some experience in
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on methods and models that enable developers and civil servants to align AI tools for use in public organizations. More specifically, your research will focus on the technical development of a flexible and
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support for professional development, including training opportunities, access to world-class computational facilities, and a collaborative academic culture where curiosity and scientific excellence
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Delft’s training programme. This vacancy is positioned within the globally recognized Department of Hydraulic Engineering (HE), known for its excellence in education, research, and career development
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position, you will lead the development of a probabilistic, error-aware surrogate model capable of delivering fast, uncertainty-quantified predictions for complex multiscale–multiphysics processes in OFPV
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activities under different system configuration and future scenarios. Comparison with conventional LCA and MRV accounting methods. Development of new metrics or decision-making frameworks to account for