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ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and execute experiments and interpret data Ability to work in a multidisciplinary, highly
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transcriptomic data. • Detect and interpret structural variation from Nanopore/PacBio sequencing. • Build scalable, reproducible pipelines for large genome collections and public databases. • Collaborate closely
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(e.g. R, Python) and an ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and execute experiments and interpret data Ability to work in a
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Fellow with a PhD in Computational Biology, Bioinformatics, Biostatistics, Data Science, or a related quantitative field to join an interdisciplinary research program focused on Alzheimer’s disease (AD
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environments and tools. Prior experience applying AI to seismology or related Earth science domains. Special Instructions Contact Information Corinne Engber 20 Oxford St. Cambridge, MA 02138 Contact Email
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on “big data” studies in health and diseases, including Alzheimer’s disease and others such as schizophrenia, psychosis, autism, etc. We collaborate with major research universities worldwide as
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recognition. Primary Job Responsibilities Determine high‑resolution structures of large enzyme complexes using cryo‑EM (single-particle reconstruction and/or cryo‑EM sample preparation and data collection
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transformative biomedical research. It is an exciting time to join us in BMB as a postdoc. The research associate (postdoctoral fellow) will work closely with a large research team (including SLU Education Policy
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or R. Evidence of peer-reviewed publications. Preferred: Experience working with large-scale datasets. Experience with data management. Prior involvement in collaborative or grant-funded research
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School of Public Health at WashU in St. Louis, MO, including epidemiologists, data scientists, clinicians and environmental engineers and will be a part of the School of Public Health’s development and