67 postdoc-in-thermal-network-of-the-physical-building PhD positions at Delft University of Technology (TU Delft)
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, these qualities are indispensable for a fulfilling PhD journey. These experiences will build you as an independent researcher, expand your professional network, and pave the way for diverse career pave the way
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. This simple unit is limiting the learning capabilities of recurrent neural network models in tasks characterized by multi-timescale and long-range temporal dependencies. To implement multi-scale adaptation, in
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Description Are you excited about building cybersecurity platforms that are secure, explainable, and compliant by design? Do you want to combine real-time authorization, distributed ledgers, and verifiable
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make extensive use of low-fidelity simulations which can provide fast but inaccurate solutions depending on the flow complexity. To close this gap, this PhD will explore machine-learning (ML) methods
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of Co, Ni, and Mn. Identify and optimize key process parameters for black mass treatment in close collaboration with industry partners. Evaluate the performance of recycled materials in new battery cells
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, integrating advanced materials and innovative water treatment process design to safely manage and minimize these concentrate streams. Your work will contribute directly to the UN Sustainable Development Goals 6
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the material consumption and environmental impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective
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the world. Code Review Efficacy The reviewing track will explore ways to make code reviewing more effective and efficient. A major element is how LLM tools relate to reviewing, either when code is produced by
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-house tools. Identify unique process failure modes in radar and AMS designs. Create high-quality, cost-effective test solutions for industrial use. Evaluate solutions for accuracy, simulation efficiency
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photovoltaics (PV) was identified by the IPCC as the technology with the highest potential among emission mitigation options. Scientific studies modelling energies scenarios for net zero emissions by 2050 project