57 computational-materials-science Postdoctoral positions at University of Washington
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doctoral degree in applied mathematics, physics, computer science, biomedical engineering, mathematical biology, computational systems biology, or related field. Demonstrated experience in at least one of
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and Informatics Center at WashU. We are dedicated to generating and analyzing whole-genome sequencing data along with high-throughput, multi-dimensional 'omics' data to advance our understanding
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Qualifications section. Skills: 3D Imaging, Collaboration, Communication, Computer Coding, Data Analysis, Data Interpretations, Data Science, Electroencephalogram (EEG), Experimentation, Genome-Wide Association
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imaging program involving molecular oncologists, cancer biologists, computational biologists, and imaging scientists focused on detecting breast cancer and predicting response to therapy. The position is
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forward to collaborating with software engineers and researchers across all areas of astrophysics and fields such as computer science and statistics. Applicants should demonstrate excellence in research
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on sustainable waste treatments and bio-productions. Key responsibilities include conducting fermentation, bioreactor operations, and cell growth analysis using imaging, OD analysis, and HPLC metabolite
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for radiopharmaceutical and particle therapy research with GMP-grade therapeutic product development facilities. Extensive shared resources for genomics, proteomics, metabolomics, imaging, and computational biology. A rich
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Position Overview School / Campus / College: College of Arts and Sciences Organization: Physics Title: Postdoctoral Scholar - Institute for Nuclear Theory Position Details Position Description
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, and natural beauty. The Department of Biomedical Informatics and Medical Education provides training, research, and service in education and informatics across the breadth of health sciences and health
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costs are not included. Minimum Qualifications: · Ph.D. in transportation engineering or a closely related field such as industrial engineering, systems engineering, computer science, electrical