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window on brain-behavior evolution. The lab uses a variety of experimental and computational tools, such as structural and functional neuroimaging, histology and digital microscopy, and behavior analysis
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research units. The Experimental Fellows will be working with guidance from at least two of the LDT faculty investigators. These include: Karen Lee Bar-Sinai: Bar-Sinai’s group investigates the interaction
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the way nature builds. We harness the imagination of academia and the focus of industry to translate ground-breaking technologies into commercial products that solve big problems. We support research
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application to lineage tracing Algorithms for characterizing structural alterations in bulk and single cell whole-genome data Mutational signature analysis for cancer/brain samples Analysis of repetitive
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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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approaches in our lab and broader community across Harvard and collaborative interactions elsewhere. Candidates should have a strong background in cell biology, physiology, biochemistry, structure, and/or
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the IRB, is an important part of role. For lab-based studies, s/he will have access to state of the art equipment (Qualysis cameras, Bertec force plates in an over-ground walkway, a Bertec instrumented
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-based studies, s/he will have access to state of the art equipment (Qualysis cameras, Bertec force plates in an over-ground walkway, a Bertec instrumented treadmill, Delsys Trigno surface electromyography
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, computer science, architecture, and engineering to develop scalable, data-informed solutions in sustainable design, construction, and energy management. The Cluster aims to modernize—and ultimately revolutionize
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of our own evolutionary history, while domestication provides an additional window on brain-behavior evolution. The lab uses a variety of experimental and computational tools, such as structural and