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research concerns sequential decision making in digital health, including experimental design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning
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of computational pediatric cancer research. They will develop and support data processing and analysis tools, create new algorithms for focused research questions in bulk and single cell tumor
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neural biomarkers Validate prognostic algorithms on independent cohorts and translate findings into clinical candidacy assessments Clinical Research & Data Management: Coordinate recruitment, screening
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and Fabrication (30%): Design, simulate, and fabricate photonic cavities, including IR/mid-IR distributed Bragg reflector (DBR) microcavities and quartz/vacuum THz cavities, resonant with collective
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pretraining and fine-tuning is a plus · Experience with multi- GPU or distributed training is a plus · Ability to work independently as well as part of an interdisciplinary team in a fast-paced
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experience. Job Description Job Summary: Independently execute a range of complex scientific research activities in a core facility including planning and optimizing research, designing analysis algorithms