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Field
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to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry
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. Preferred qualifications: D. in Quantitative Genetics/Genomics, Computational Biology, or Related Discipline. Skilled in single-cell transcriptomic analyses, machine learning and artificial intelligence
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to join our team. We invite individuals with expertise in microbiology, immunology, systems biology, or computational biology to contribute to innovative research on the female urogenital microbiome
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ASTRONOMY (BL-AST-IUBLA) Astronomy has a long history at Indiana University, beginning in 1856 with Daniel Kirkwood. The department was founded in 1895. Our doctoral program has produced over 100
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), data entry, and literature review. Ideal candidates will have a background in environmental chemistry or soil science and some lab experience. BACKGROUND CHECKS/CLEARANCES Employment with the University
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review or select your application. Knowledge/Skills/Abilities: Sufficient relevant experience to contribute significantly to a specific project. Experience with the use of computers and other appropriate
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biology, biochemistry, cell biology, immunology, or microbiology Knowledge of computers, including Microsoft Word, Excel and PowerPoint. Working Conditions Lab Environment. Application Documents Resume
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may then be reviewed in the order in which they were received until the position is filled. Early applications are encouraged. A criminal and employment history background check will be performed
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technologies, climate mitigation and adaptation, and climate systems engineering. To advance this mission, the Harris School of Public Policy, together with the Institute for Climate and Sustainable Growth, is
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Biology, Biostatistics, Bioinformatics, Computer Science, Data Science, or related discipline. * At least 1 year of experience in bioinformatics research. * Quantitative training with good understanding