29 web-development Postdoctoral positions at Delft University of Technology (TU Delft) in Netherlands
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pioneering green steel innovation! We’re seeking a skilled Postdoctoral Researcher to develop melting strategies for hydrogen-based direct reduced iron in future electric arc furnace operations. Job
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to staff position within a Research Infrastructure? No Offer Description Postdoctoral researcher for developing microfluidics for research on synthetic cells Job description In this project we will use
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing screening methods to enable subsurface H2 storage? If you enjoy working
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join us in developing zero-emission synthetic inertia with BESS
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Postdoctoral position available in surface functionalization of Life Marker Chips for space-based biosensing. Job description Project Background: The (Origin of) Life Marker Chip (LMCOOL) project develops space
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position is part of MODABAT – Modular, Scalable, and Technology-Open Design for Future Aviation Batteries, a project that aims to develop an airworthy battery system for an ultra-efficient regional aircraft
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engaged to advancing the frontiers of both fundamental physics research and practical device development, bridging the gap between fascinating theory and real-world applications. Our current research in
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join the CHESS project – Convective Heat Source from the Building Skin. CHESS develops a new façade-integrated energy system that harvests heat through natural convection in ventilated façades, coupled
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results. Prepare and submit 1–2 scientific publications. You will be part of a collaborative and supportive research environment at the heart of the Delft University campus. Our team values diversity and
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following: Designing efficient digital CIM architecture using advanced CMOS nodes Develop system architecture for digital CIM accelerator Develop efficient mapping schemes of AI workloads Identifying