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research questions and deliver our results. The researcher is expected to lead the project and deliver a journal publication, and present the projects work at high level conference. At TU Delft, you will be
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and internationally diverse team of scientists with backgrounds ranging from molecular/cell biology and physics to mechanical engineering. Our drive is to push boundaries in our aim to visualise
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for advanced error correcting codes that can lead to compact and scalable spin quantum computing. The candidate is expected to focus on the development of a thin diamond-on-insulator (DOI) substrate, and the
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Challenge: Solve computational bottlenecks in the modelling of mechanics of metallic systems. Change: Develop new physics-informed machine learning algorithms and predictive models. Impact: Enable
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. Challenges include the identification of suitable metallurgy, the reproducible fabrication of the interconnects, and modeling of their properties. The results of the project are expected to lead a new machine
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(schematic, layout, Verilog-A,…). Comfortable with Verilog to design state machines, digital I/O, etc. Mathematical skills to capture capacitive sensor physics concepts in Verilog-A models (required to
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travel within the Netherlands, and to the consortium project meetings across EU. Additionally, the postdoc will contribute and lead several deliverables in this EU project. In a nutshell, your work will be
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silicon solar cells. We are looking for PostDoc to lead our efforts in the sustainability work packages covering life cycle assessment, supply and circularity evaluation for the PV technologies under
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, including Guidelines on platform regulation. RO3: Propose and validate best practices that can lead to a Code of Conduct for Vulnerability on social media model. What are your tasks As a postdoctoral
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Marine renewables are expected to increase their participation in the energy mix, however, innovations are needed to lead to solutions with high survivability in offshore environments, reduction