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organoids will be plus. Dry lab: Highly motivated candidates with a PhD/MD degree in bioinformatics, genome science, systems biology, biomedical informatics, computational biology, machine learning, data
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 28-Jul-25 Location: Cambridge, Massachusetts Categories: Academic/Faculty Engineering Internal Number: 13865 School
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. Supervise laboratory interns or students, if there is mutual interest. What is Required: Ph.D. in Geology, mineralogy, earth science, chemistry, materials science, physics, computer science or relevant STEM
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Computer Science, Mathematics, Physics, Applied Economics, or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning frameworks. Proficiency in
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models, and clinical cohorts to uncover mechanisms by which early-life gut microbial metabolism shapes host immunity. We welcome applicants with backgrounds in computational biology, molecular microbiology
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/2026 12:00:00 AM. Discipline(s): Chemistry and Materials Sciences (12 ) Communications and Graphics Design (2 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21
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Qualifications: Ph.D. in applied hydrology, civil engineering, computer science, geoscience, or related field. Skills and Knowledge: Strong interest in (or skilled in) the development and application of hydrologic
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for program participation. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE
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. Required Education Prior to the effective date of the appointment, a Ph.D. degree in Civil Engineering or related field. Required Experience Six (6) journal publications related to computational modeling and
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: A PhD degree in business, computer science, informatics, social sciences (preferably sociology, psychology, or economics), public health or a related field is required and must be conferred by