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-reconstruction analysis. Work with Consortium collaborators (MIT, University of Cambridge) to analyze and interpret the reconstructed neural circuits, including defining connectomic cell types and testing neural
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, which includes a diverse community of HMS and affiliated immunologists with expertise in many facets of this dynamic field. Faculty may interact with the Broad Institute of MIT and Harvard to develop
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improving health outcomes. Our laboratory collaborates with world-leading institutions (The Broad Institute of MIT and Harvard, USA; Harvard School of Public Health, USA; The Liggins Institute, Auckland, New
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improving health outcomes. Our laboratory collaborates with world-leading institutions (The Broad Institute of MIT and Harvard, USA; Harvard School of Public Health, USA; The Liggins Institute, Auckland, New
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professionals. Together, we’re unlocking the fundamentals of biology and building an open, inclusive future for science. The Laboratory for Multiscale Regenerative Technologies at MIT, led by Dr. Sangeeta Bhatia
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/ computational biology is open in the non-clinical biostatistics unit of ISBA (Institute of Statistics, Biostatistics, and Actuarial Sciences) at UCLouvain in Belgium. The project focuses on the analysis and
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are expected to have a second cycle academic degree (MSc, MD, or equivalent) in biology, biochemistry, bioinformatics, biotechnology, cell biology, computer science, genetics, mathematics, medicine, or other
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with basic molecular biology techniques and working with mice is highly desirable. Minimum Qualifications: Associate degree with a minimum of two years hands on experience. An equivalent combination
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and technologies, making connections within and beyond the institute. Qualifications and experience Candidates are expected to have a second cycle academic degree (MSc, MD, or equivalent) in biology
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using high-throughput omics data. Our multidisciplinary team works with biomedical research groups in the Harvard, MIT and Broad communities, and at local hospitals and industry. Our core has a strong