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Field
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computational scientists to develop advanced algorithms and models. Research and validate potential biomarkers associated with breast cancer progression, treatment response, or patient outcomes, using
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of core computer science concepts, including algorithmic thinking and problem-solving, programming languages, databases, software development understanding, and cyber security Online teaching experience
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, transcriptome sequencing, methylation assays, metabolomics, and/or lipidomics assays. State-of-the-art computational algorithms and new methods will be applied and developed to prioritize the variants and genes
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development of resource algorithms for forecasting, and cross functional collaboration to provide a single source of truth for clinical trial resource demand and supply planning. What You’ll Do Resourcing
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: 273298500 DePaul University Post Doctoral Researcher NSF SCHOLAR Loop Campus (On-site) Job Description The Highlights: The Medical Informatics Lab at DePaul University's School of Computing is seeking a
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& Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis
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experiments are appropriately conducted following the policies and procedures of Stony Brook University. The successful candidates will work on the parity- violating electron scattering (PVES ) program at
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learning algorithms for a variety of predictive analytics research projects. Coordinates data collection, econometric analysis and provides quality assurance for research projects. Contributes to research
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instructors posting on the university careers website. Application materials should be addressed to the faculty noted on the job description or to the chair of the program that you are applying to in cases
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management