57 parallel-processing-bioinformatics uni jobs at Yale University in computer-science
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disease (Braun, Cancer Cell, 2021) in kidney cancer. The ideal candidate will have a strong background in computer/data science (including statistics), knowledge of R and python, and experience with high
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genomics, multiomic integration, statistical modeling, or machine learning is desirable but not required. Candidates from computational biology, bioinformatics, computer science, statistics, applied
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, bioinformatics, computer science, statistics, applied mathematics, physics, bioengineering, immunology, or related fields are encouraged to apply. The position offers opportunities to publish methodological and
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recognize that artificial intelligence and machine learning are changing all aspects of neuroscience from analysis of neural activity to network modeling to imaging to bioinformatics to molecular modeling. We
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these questions and advance novel therapeutics for infertility. The candidate will use bioinformatic and computational tools to analyze single-cell and spatial transcriptomic data. Your work will be central to
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, Consumer Health Informatics, Translational Bioinformatics, Human-Computer Interaction, and Data Science, with applications in electronic health records, digital health, biomedical imaging, healthcare policy
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of potential subjects, coordination across multiple specialties for tissue acquisition, direct human tissue processing, storing and tracking of stored samples, and maintenance of an associated clinical database
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regarding the application process can be addressed to Ms. Cheri Cercone, Faculty and Academic Affairs Assistant, at [email protected] The department will begin evaluating applications after November 1, 2026
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begin immediately and will continue until the position is filled. Questions may be directed to Eric Michielssen at [email protected] . Application Process This institution is using Interfolio's
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will begin immediately and will continue until the position is filled. Questions may be directed to Eric Michielssen at [email protected] . Application Process This institution is using