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Center for Emergence in the Molecular and Cellular Sciences (NCEMS) and the Institute for Computational and Data Sciences (ICDS) at Penn State seeks an outstanding scientist to fill a Bioinformatics
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-on experience in research, data science, bioinformatics, project coordination, and team-based scientific initiatives. Students selected for this opportunity may contribute to both NCEMS research activities and
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investigators in data analysis best practices Ensure data management, documentation, and reproducibility standards are maintained Preferred Qualifications PhD in Bioinformatics, Computational Biology, Biology
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of insects. Relevant job training will be provided; students will gain familiarity with major bioinformatics software packages and develop a working knowledge of genome biology and related sciences such as
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the application of statistics to bioinformatics, computational biology, and available biological datasets. Education and Experience: M.S. or PhD in Statistics, Biostatistics, Data Science, Computational Biology
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statistics/biostatistics, computer science, bioinformatics, or other related disciplines is required. Strong interest, research background and experience in the methodology research in statistical genomics
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REQUIREMENTS We are seeking a motivated research assistant to gain hands-on experience in computational genomics and bioinformatics as part of an NIH-funded metagenomics research project. This part-time position
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including neuroscience, plant science, physiology, pharmacology, microbiology, genomics, bioinformatics, and biotechnology; investigate and evaluate research methods, advise faculty/researchers on optimal use
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in Machine Learning, Computational Biology, Bioinformatics, Computer Science, Statistics, Data Science, or a related field is preferred. Strong proficiency in Python for scientific computing and
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research. Interest in teaching is required and experience teaching graduate level coursework is preferred. PHS consists of three academic divisions, namely, Biostatistics and Bioinformatics, Epidemiology