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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages
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models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees. Research areas include Representation Learning, Machine learning and Optimization
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design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools
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computer science, statistics, operations research, or related computational fields. As part of an interdisciplinary research team dedicated to advancing management science, the fellows will develop novel
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Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods
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health status and works in collaboration with the care team to develop the plan of care Collaborates with the healthcare team incorporating appropriate standards of care for practice and patient outcomes
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, we’re developing tools and experiences that empower founders to grow their ventures and their confidence. It’s an exciting, fast-moving environment where new ideas matter and every team member has
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intensities that can be used to perform spatial analyses. You will interpret initial results and carry out follow-up analyses, developing the necessary approaches and writing code for their execution, and