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of at least some of the following: – Extensive independent research experience – Creativity and independence – Experience analyzing hyperspectral data and developing machine learning models - Genetic
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network engineering and angiogenesis 3). Applications of machine learning in cell and tissue engineering Candidates should have demonstrated publication records in cardiac and vascular engineering or
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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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of molecular biology and next generation sequencing is highly preferred. 3. Familiarity with single cell data analysis is preferred, but not required. 4. Ability to work independently as well as part of
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Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi
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Lab of Plant Biodiversity at Harvard University is seeking an exceptional postdoctoral researcher (or research associate) to work with us on the sequencing, identification, and analysis of comparative
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Lab of Plant Biodiversity at Harvard University is seeking an exceptional postdoctoral researcher (or research associate) to work with us on the sequencing, identification, and analysis of comparative
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collaborative, impact-focused problem solver who wants to be part of a dynamic team. Information about the Shih Lab: Learn more about the innovative work led by Dr. William Shih here: https
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, and morphological analysis techniques to explore how venom has evolved in marine mollusks. Your work will span from the field to the lab, including: Sample collection from diverse, extant marine species
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protein coding genetic association data with functional and machine learning-derived features 4. Developing methods to characterize the genetic architecture of autism Salary and Benefits This position is