27 algorithm-development-"The-University-of-Edinburgh" Postdoctoral positions at Delft University of Technology (TU Delft)
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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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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
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. The candidate will work on the following: Designing efficient analog CIM architecture using emerging memristive devices Develop system architecture for analog CIM accelerator Develop efficient mapping schemes
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(particularly nature-based approaches) can enhance resilience, combined with a detailed assessment of the performance of critical hydraulic infrastructure during extreme events. You will develop and test new
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with bond disorder, i.e. where deterministic pair interactions are replaced by random variables. The main objective is to develop a robust mathematical approach to study the metastable behaviour
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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 This Postdoc position focuses on the development of assessment and
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, circularity, and responsible sourcing. These developments do not only add risks — they fundamentally change how supply chains need to be designed and governed. The ReSolVe project (Resilient and Regulatory
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The EVOLF consortium aims to create a living cell bottom up. This groundbreaking endeavour requires careful alignment with societal values and effective goverance. Job description The development of a
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Description Shape the future of robotics! TU Delft is looking for a postdoc to develop a design framework with guidelines, competences, and tools that will help robots integrate into professional work settings
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the goal of accelerating process development for circular materials. You will generate valuable multi-scale data (micro- to mesoscopic) relevant to the manufacturing of aerospace thermoplastic composites