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learning. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in chemistry, physics, computer science, or a related field is required
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candidate would work on projects in methods development for coupled electron-nuclear dynamics based on the exact factorization approach and time-dependent density functional theory. Projects involve theory
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candidate would work on projects in methods development for coupled electron-nuclear dynamics based on the exact factorization approach and time-dependent density functional theory. Projects involve theory
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Experience: Qualified candidate must hold a PhD degree. Candidates in ABD (all but degree) status will also be considered. City: New Brunswick State: NJ Physical Demands and Work Environment: Physical Demands
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Minimum Education and Experience The candidate must hold a PhD in the fields of Neuroscience, Cell Biology, Biological Sciences, or closely related fields, and must have a strong background in cell
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Posting Number 25FA1195 Posting Open Date 11/25/2025 Posting Close Date 12/05/2025 Qualifications Minimum Education and Experience PhD in Materials Science and Engineering or related fields. Certifications
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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and
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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and
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Date Qualifications Minimum Education and Experience PhD degree in neurobiology or a related field. Certifications/Licenses Required Knowledge, Skills, and Abilities PhD degree in neurobiology and
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environmental and pharmacoepidemiological research methods and programming skills for large relational databases. This is a two year position that will be supported by an active NIH funding. The successful