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multidisciplinary teams to uncover patterns, trends, and relationships in aging data. Required Qualifications: (as evidenced by an attached resume) * Ph.D. degree in Data Science, Computer Science, Bioinformatics
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, Computer Science, Bioinformatics, Biomedical Engineering, Computational Biology, Neuroscience, or a closely related field. ● 5 years of experience (strong expertise) in data analysis and machine learning
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-round expert staff, state-of-the-art laboratory, research and teaching facilities, and connections to researchers at dozens of global universities have no parallel in Madagascar. Major research facilities
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Engineering, Genetics, Immunology, Biology, Systems Biology, Biomedical Sciences, Material Science, Bioengineering, Analytical Chemistry, Bioinformatics or a closely related field in hand by August 2025
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Engineering, Genetics, Immunology, Biology, Systems Biology, Biomedical Sciences, Material Science, Bioengineering, Analytical Chemistry, Bioinformatics or a closely related field in hand by August 2025
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techniques. Perform epigenetic analysis through next-generation sequencing library preparation (e.g. spatial genomics and metabolomics). Perform bioinformatics analysis. Maintain mouse colony and perform eye
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techniques. Perform epigenetic analysis through next-generation sequencing library preparation (e.g. spatial genomics and metabolomics). Perform bioinformatics analysis. Maintain mouse colony and perform eye
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, Computer Science, Bioinformatics, Biomedical Engineering, Computational Biology, Neuroscience, or a closely related field. ● 5 years of experience (strong expertise) in data analysis and machine learning
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leadership role in coordinating enrollment processes, building high-impact training programs, creating policy and procedure documentation, managing university systems, and ensuring consistent communication and
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of New York (State) employment. Experience with processing and administering visa transactions. Experience with grant proposal processes and grant administration. Experience working on complex research