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science or electrical engineering from a reputable university On top of systems and/or hardware security, we also consider applicants who have instead worked on computer systems or hardware design
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projects, publish at top venues, and help mentor doctoral and Master's students. Profile A doctoral degree in mechanical or electrical engineering, computer science, robotics, bioengineering, materials
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degree in computer science, mathematics, statistics, or similar; candidates with a degree in (any) sports and a strong computational leaning are equally welcome Enthusiasm for data and sports
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related questions in an interdisciplinary manner (i.e., at the intersection of psychology, technology, and human–computer interaction). We welcome candidates with a strong interest in fundamental
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system developments. Contribute to the co-supervision of MSc and BSc students working on related research topics. Profile You will have: PhD in Computer Science or any related field. The successful
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benchmarks Debug common post-training issues, including optimisation instability, reward hacking, regressions, and evaluation failures Profile Essential MSc or PhD in Computer Science, Data Science
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. Publish your findings in high-quality scientific journals and present them at international conferences. Profile You bring a strong background in quantum physics, computational science and a genuine
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2027) in a relevant field (e.g., architecture, civil, computer science, mechanical engineering, material science, etc.). Strong fit to Design++ scope and impact goals. Nice-to-haves Evidence of
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: computer science, physics, engineering, applied mathematics Your level of English allows you to discuss your topics with your colleagues and report your Findings in writing You look forward to working
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reliability Citation quality and evidence grounding Calibration, uncertainty, and appropriate deferral Trace auditability and clinician-in-the-loop evaluation Profile Must Have PhD in Computer Science