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PhD students and participation in teaching activities. Good command of spoken and written English. TU Delft (Delft University of Technology) Working at TU Delft means contributing to solutions
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. You will develop and lead an independent research programme in one or more of the following areas: Hardware implementation of advanced signal-processing and machine-learning algorithms, including
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contributing to research with direct societal impact. Job requirements You hold a PhD degree, or are close to completion, in Aerospace Engineering, Mechanical Engineering, Geoinformatics, Geomatics
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. Your home base will be the Jakobi Lab (https://cryoem.tudelft.nl) at TU Delft | Kavli Institute of Nanoscience. We are a multidisciplinary, international and diverse team of scientists with backgrounds
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. Our ideal candidate has expertise in one or more of the following areas: Computer systems High-performance computing Programming languages AI for programming and software engineering Post-quantum
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. These efforts have led to the development of widely used open-source software tools, including heyoka, pyaudi, pagmo/pygmo, pykep, dSGP4 and torchquad, which provide the broader community with access
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program’s horizon. You will acquire project funding, and contribute to outreach, mentor PhD students and postdocs, and work with a large network of scientists. This is your chance to innovate and shape a
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. Develop new protocols, tools for planetary protection purposes: Develop probabilistic standards, software, procedures, processes and handbook related to planetary protection as applicable. Provide support