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Field
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appointment) in a relevant field, such as geodynamics, seismology, geophysics, or computational science. Ability to sit for extended periods (e.g., 6–8 hours/day). Visual acuity to read computer screens and
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Ph.D. in operations research, computer science, applied math or a related field. The focus of this person’s research would be on the development of novel methods to solve game theoretic models in natural
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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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Postdoctoral Associate- Artificial Intelligence Innovation Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Computer Science, Electrical and
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. Application Deadline 7/29/2025 11:59:00 PM Eastern Time Zone Description The U.S. Department of Energy (DOE) Science, Technology and Policy Program (DOE-STP) is designed to provide opportunities for students
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.) level program in Biochemistry, Chemistry, or a related field. Candidates must have demonstrated expertise in at least two of the following areas: bioinorganic chemistry, structural biology, microbial
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computational biology/chemistry, machine-learning for biological or chemical data, and drug discovery/design. Mentorship is taken seriously and every effort will be made to ensure the candidate is able to achieve
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acquisition on fresh and fixed samples. Work closely with pathologists, surgeons, and computational scientists to validate imaging technologies for diagnostic and research use. Analyze imaging data and
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computational biology/chemistry, machine-learning for biological or chemical data, and drug discovery/design. Mentorship is taken seriously and every effort will be made to ensure the candidate is able to achieve
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. Qualifications Required Qualifications: A PhD degree in Biostatistics, Statistics, Computer Science or a related field who possesses strong interest in genetics/biomedical applications, and strong computing