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the last 5 years or soon to be completed. Demonstrated experience in building machine learning/deep learning models using one or more large scientific data sets involving sequence, protein structures
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cell sorting, and next-generation sequencing library preparation. Bioinformatics and computer science expertise is a must. Excellent oral and written communication skills and the ability to perform both
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questions in various theoretical and biological settings, such as cellular interactions in tissues using single cell sequencing data. The initial appointment period is funded for one year. Basic
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with the highest probability of success for treating diseases, specifically focusing on identifying disease mechanisms supported by multiple, independent genetic variants. The postdoc will develop and
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Interest We welcome applications from all disciplines aligned with one of the strategic research priorities below: Clean Technologies: Net zero innovation, sustainable energy, circular economy Life Sciences
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of aquifers in sedimentary sequences on the Norwegian continental shelf. Aquifers are part of the same pressure systems as other reservoirs and influences all subsurface activities linked to production
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, including integration of multimodal sequencing and 3D imaging datasets. They will be expected to produce independent and original research in this area, develop and apply new concepts and have a creative
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for Computational Biology and Bioinformatics (CCBB), and multiple NIH sponsored multicenter programs including the Alzheimer’s Disease Genetics Consortium (ADGC), Alzheimer’s Disease Sequencing Project (ADSP
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, women’s health, and fundamental life science. Will conduct original and collaborative research aligned with MIT HEALS; participate in programming and community events; engage with faculty, students, and
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research staff. We are dedicated to advancing the care of acutely ill patients across multiple hospital locations, managing a daily census of more than 320 patients. Our team is at the forefront of cutting