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data analysis. One focus will be designing and building the web platform: an interface where researchers upload their data and get automated scores back, a system that can host and serve multiple scoring
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will report to lab Director Dr. Emeka Okeke. The position involves working on multiple projects in an active research laboratory. The candidate will work with an interdisciplinary research team including
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. Applications will continue to be accepted until the position is filled. This position will be based in the Okeke Lab and will report to lab Director Dr. Emeka Okeke. The position involves working on multiple
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existing and new computational methods to study multiscale processes in catalysis and photochemistry. Other projects that align with our general interest are also possible. Please see https://sdonglab.org
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a Postdoctoral Research Associate to train in interdisciplinary projects involving developing new AI-driven Molecular Dynamics (MD) simulation methods and apply them to drug discovery in multiple
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publication record with multiple first-author papers at premier venues (CVPR, ICCV, ECCV, BMVC, NeurIPS, ICLR, PAMI, IJCV) within the past 3 years Deep expertise in video understanding, including current state
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relevant materials will be examined such as drug delivery. Publications in multiple high-impact journals are expected. The selected candidate is also expected to maintain the laboratory and exercises
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quantitative data analysis are essential to the successful candidate. Experience in writing proposals and project management experience are pluses. Ability to communicate and coordinate with multiple senior
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, self-starter and innovative thinker while at the same time being able to navigate multi-layered channels within a university setting and working across multiple teams/business units. Team-player who can
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contributing to multiple projects including resilience-aware scheduling, deep learning workload job scheduling, and storage system performance tuning. The candidate will have the opportunity to engage in