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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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work on both probabilistic modeling, software development, and cancer biology analysis for this position. PhD in computer science, computational biology, or related quantitative field. Strong oral and
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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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mechanisms linking cardiovascular diseases with cancer and cancer therapies. She uses human-induced pluripotent stem cells (iPSCs), patient-derived samples, genomics, and computational biology to identify
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. Required Qualifications* PhD in computer science, computational biology, or related quantitative field. Strong oral and written communication skills. Desired Qualifications* Computational biology experience
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. in computer science, medical, health informatics, or other related field. Candidates will need to have completed their PhD or have it completed by the start of employment. Applicants should upload a
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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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), quantum information science (sensing and simulations), and artificial intelligence/machine learning. Research areas highlighted for 2026 include ATLAS, rare event searches with quantum sensors, DUNE
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cell or drug therapies. We are interested in recruiting bioinformatics research fellow with training in computational biology or biostatistics. relatstatistics, mathematics, or a related field.statistics
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Research Fellowship (PRF) for PhD MSE Program Location Rio Grande Valley, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science / Mechanical