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). Complete the necessary doctoral coursework as per NTNU’s guidelines. Attend center meetings and develop a collaboration network with center partners. Disseminate research findings through national
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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PhD/postdoc fellows) to carry out experimental projects with an EMBL host research group, thereby allowing them to build new networks, experience the international and interactive environment at EMBL
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: this provides capability for accurate and fast modelling of urban drainage, handling the full complexity of flow paths on impermeable surfaces, green space, buildings, pipe networks and BGI features
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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of
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research and turn it into results. Connection to a broad network of science, politics, governance, media and civil society organisations in the Netherlands and Europe. Room for initiatives and new ideas. A
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Urban stormwater systems are increasingly under pressure from climate change, urban densification, and aging infrastructure. Conventional drainage networks are not designed to cope with the frequency and
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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of
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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of
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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of