19 computer-science-programming-languages-"the"-"FEMTO-ST-institute"-"U" Postdoctoral positions at University of Washington
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. Strong background and interest in plant‑microbe interactions and/or microbiology. Proficiency in programming languages such as R and Python. Ability to work independently and as part of a team. Excellent
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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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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
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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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, Computer Science, Data Analysis, Etiology, Exome Sequencing, GATK, Genetic Research, Linux, Neurodegeneration, PLINK (Software), Python (Programming Language), Statistical Genomics, Work Collaboratively Questions
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, Communication Sciences, Psychology, Neuroscience, Engineering, Computer Science, or a related field is required. 2. Strong analytical skills and experience with programming language(s) (MEG analysis in our lab is
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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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Programming, C++ Programming Language, Data Integration, Genome Assembly, Genomic Data Analysis, Genomics, Independent Research, Machine Learning, Molecular Biology Techniques, Python (Programming Language
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, Experimentation, Flow Cytometry, Immunohistochemistry (IHC), Informatics, In Vitro Assays, In Vivo Assays, Laboratory Operations, Laboratory Techniques, Molecular Biology, Omics, Python (Programming Language
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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