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computing applications—mainly for a SWaP-constrained AV—using hybrid electro-photonic accelerators. We propose to design and prototype a complete electro-photonic computing (EPiC) system (CPUs + accelerators
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Institute for Climate and Sustainability. While the project is scheduled to launch in September, hiring may occur earlier, and selected candidates may have the opportunity to begin their appointments ahead
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considerations and algorithms for protocol documents according to study design and appropriate statistical methods, manage and maintain documentation of files and analyses. This person will summarize and present
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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include manage various datasets, estimate statistical models, report formats and other analysis considerations, determine and write statistical considerations and algorithms for protocol documents according
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● Familiarity with single cell data analysis is preferred, but not required. ● Experience using a shared computing environment and a scheduler such as SLURM or qsub preferred ● Experience designing
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. Builds internal code design and development guides for future contributors, Conducts quality assurance to ensure the reproducibility of analyses, documentation of methods and algorithms, and use
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design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning algorithms to provide inferential tools. The successful applicant will be expected to develop
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clinical pulmonologists and immunologists to study the molecular mechanisms that underly airway tissue homeostasis and asthma pathogenesis. In addition, our group aims to develop new computational algorithms
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, employing state-of-the-art statistical techniques, managing and analyzing large datasets, and applying machine learning algorithms and large language models to derive meaningful insights. Interactions with