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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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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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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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, 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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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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, 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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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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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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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
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biophysical forces at play, the similarities and differences across animals, and how IVF clinics can better decide which embryos to implant. This project will be aligned with the aims and objectives