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Qualifications / Discipline: Graduating PhD or recent PhD holder specializing in optimization. Skills: Advanced knowledge on nonsmooth analysis, Riemannian optimization, nonconvex optimization theory and
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machine learning conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, etc. The candidate will also help to co-supervise PhD students in the group. Only shortlisted applicants will be notified
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and biophysical characterization Collaborate with industrial partners for beta-testing the proteins Prepare manuscripts, academic grant applications, and mentoring graduate students Qualifications PhD
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learning (reinforcement learning, multi-armed bandits). This position is expected to last from one to two years. The start date is negotiable. The candidate is expected to have a PhD in electrical
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; CEM based SAR and ISAR image processing techniques; He/She should have a PhD in an electromagnetics-related field with a solid background in computational electromagnetics and a good understanding of
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opportunity to start her/his experiments immediately, she/he is also expected to contribute into building our newly established laboratory. Qualifications A PhD in experimental physics or engineering is
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the researcher will have the opportunity to start her/his experiments immediately, she/he is also expected to contribute into building our newly established laboratory. Qualifications A PhD in experimental physics
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faculty on exploring potential data sources and utilizing advanced research methodologies. The role is designed to serve as a bridge into a PhD program, providing hands-on experience in all stages
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and preparation of manuscripts, reports and presentations; • Participate in presentations and demos for exhibiting work at appropriate events. Job Requirements • PhD in Civil Engineering (major in
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networking and distributed systems. Qualifications A PhD degree in Computer Science or related field Experience in research and Good publication record Good communications skill in both written and verbal