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biology, and related areas. The interested candidate will work directly with experimental scientists within a wet lab setting to facilitate the management, analysis, and visualization of the mass
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Description: Apply Position Description Assisting in collecting and processing data generated from targeted scientific and engineering experiments using edge AI technologies. They will also conduct data
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and revision Educational Requirements: Work requires a PhD (bio)statistics, econometrics, data science, or related field. Experience/Skills Required: A background in commonly used programming
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, manuscript preparation, and presentation of findings. Depending on prior experience, additional duties may include mentoring students or contributing to broader team efforts. This is a one-year position with
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application to medical imaging (e.g., MRI) · Experience with MRI data analysis, network science, graph theory, topological analysis, or related computational approaches, especially in Alzheimer’s
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proficiencywith JavaScriptand experience with B ayesian statistics are preferred.Experience in survey designis also help ful.Previous legal experience is not necessary, but an interest in law a ndlegal decision
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ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure
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, Duke University Biology Department to study how archaeal microbial communities respond to stress in hypersaline environments. A PhD in computational and/or experimental biology is required in fields
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experimental biology, engineering, or quantitative sciences, as well as a passion for quantitative-biology and synthetic-biology research. The ideal candidate should have a recent Ph.D. in microbiology
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directly to efforts to improve affinity, specificity, and functional performance of candidate biologics. The candidate brings experience in molecular evolution and synthetic biology, which aligns with and