36 postdoctoral "Computer and Information Sciences" Fellowship positions in United States
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- U.S. Department of Energy (DOE)
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analysis of multi-omics datasets and apply machine learning methods to decipher immune responses to infections and vaccines. Selection criteria Ph.D. in computer science, data science, computational biology
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their fellowship Applicants must have a doctoral degree in a discipline related to natural sciences, engineering, computer or information science and mathematics. Proposed projects must also be related
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their fellowship Applicants must have a doctoral degree in a discipline related to natural sciences, engineering, computer or information science and mathematics. Proposed projects must also be related
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Apply Now Summary We are looking for a postdoctoral fellow to work in the fields of in bioinformatics, biostatistics, machine learning, vaccine informatics, microbiology, immunology, and precision
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or higher in Computer Science, Data Science, Computer Engineering, Biomedical Engineering, Bioinformatics or related fields Expertise in Python and Matlab programming Previous published first author work in
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Experience: The candidate must have a Ph.D. degree in Computer Science, Information Science, or a related discipline. Preferred Education and/or Experience: The candidate should have extensive research
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high-quality papers reporting on methodological and biological advances resulting from this work Who you are: Ph.D. in Computational Biology, Computer Science, Statistics, Biostatistics or related field
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. (within the last 1-2 years) in Applied Mathematics, Computational Biophysics/Physics, Computer Science, Data Science or a related discipline. Experience developing numerical methods for solving inverse
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computations. Preferred Qualifications Education: PhD in computational mathematics, computer science or a related discipline. Work Experience: 2 years of experience including the following: Develop mathematical
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computations. Preferred Qualifications Education: PhD in computational mathematics, computer science or a related discipline. Work Experience: 2 years of experience including the following: Develop mathematical