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The successful candidate will be responsible for developing computational and systems biology approaches to analyze spatial omics data and single-cell omics data (e.g., scRNA-seq, scATAC-seq, single
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previous work at the postdoctoral level at start of appointment. Coding experience in a scientific computing language is desirable (e.g., Python, MATLAB, R, IDL, Fortran, etc.) The candidate should have an
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their work. Qualifications: PhD in Anthropology, Computer Science, Linguistics, Science & Technology Studies, or a related field Strong publication record or demonstrated potential for impactful research
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 26 days ago
: PhD in nuclear engineering, applied physics, computational science, or a closely related field; demonstrated experience in Multiphysics modelling, numerical methods for PDEs, and code verification and
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Program and Public Engagement Training Content Microgrants . For questions, send an email to microgrants@researchamerica.org . You can also follow their Instagram here ! Tags: Career Options: Science
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resources and warming climate. The ideal candidate will have highly developed skills in any of the following areas: hydrologic and/or water resources modeling, data science and machine learning with strong
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Job Title Postdoctoral Research Associate Agency Texas A&M University Health Science Center Department Center for Community Health & Aging Proposed Minimum Salary Commensurate Job Location College
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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Salary Range $57,000 annually Type of Position Student Position Time Status Full-Time Required Education Ph.D. in a relevant social science discipline (e.g., Sociology, Public Policy, Education
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, require limited supervision and high-level of independence are highly desirable. About the lab and St. Jude: Our lab focuses on computational methods development and large-scale genomic/genetic analysis