61 computer-programmer-"FEMTO-ST"-"FEMTO-ST" Postdoctoral positions at University of Washington
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will contribute to our overall goal of advancing novel therapeutic targets for neurodegenerative disease. Candidates with backgrounds in computational biology, stem cell biology, or neuroscience
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of transcripts and/ or proof of academic good standing (transcript of highest degree conferred; proof of academic good standing on official letterhead and signed by graduate program director, advisor
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Position Overview School / Campus / College: College of Arts and Sciences Organization: Astronomy Title: Postdoctoral Scholar - Roman Crowded Field Photometry Specialist Position Details Position Description Postdoctoral Scholar - Roman Crowded Field Photometry Specialist The Department of...
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microbiome data and/or analyzing sequencing data in a high-performance computing environment. Experience in BSL2 laboratory and familiarity with ELISA techniques. Demonstrated fieldwork experience in community
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, research and evaluation, and program development and policy efforts across the SPIRIT Center. Psychodiagnostic assessments and research will be primarily conducted on the campus of Harborview Medical Center
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technologies, computational genomics, functional assays, and integrated data analysis. We are seeking a highly motivated Postdoctoral Researcher who shares our passion for solving foundational problems in human
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-spectrometry analysis of small molecules The successful candidate will work closely with the PI and collaborators in a highly collaborative environment. The candidate will plan and perform experiments, write
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conditions, and brain tissue microstructure and functioning. The successful candidate will be working within a multi-disciplinary team of MRI physicists, computer scientists, radiologists, neuroscientists, and
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Position Summary The Cruchaga Lab at WashU Medicine is recruiting multiple Postdoctoral Research Associates. The NeuroGenomics and Informatics Center generates and analyzes Whole-Genome Sequencing
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level. The position requires working collaboratively with a team of experimental and computational biologists to integrate genetic and genomic data with mathematical modeling to better understand