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models; 2. Statistical methods, analysis, and inference for large-scale computational simulator applications; 3. Uncertainty representation, quantification and propagation; and 4. Scalable data science
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program. Minimum Acceptable Education & Experience: Ph.D. in Physics, Nuclear Physics, Particle Physics, or a closely related field at the time of appointment. Demonstrated experience in experimental
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include animal models as synergetic platform for preclinical development of therapeutics and molecular biology aspects of the diseases. A self-starter with strong interest in understanding virological
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these toolkits into biotechnology platforms and therapeutic reagents. Our research program integrates chemical biology, protein engineering, and cell biology techniques for therapeutic development, primarily in
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. Contribute to grant writing. Minimum Qualifications PhD in computer science, computational biology, or related field. Dissertation must have focused on development of neural networks for analysis of proteins
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benefits program, which includes: Up to 100% tuition remission for employees and dependents upon eligibility Up to 50% tuition remission for spouses upon eligibility A generous Employer retirement
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measure success. Basic Qualifications: A PhD in Materials Science and Engineering or a related field completed within the last 5 years Preferred Qualifications: Strong background in computational and image
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-informatics, GIS mapping, and water quality modeling techniques to address complex environmental challenges. You will work closely with Dr. Seneshaw Tsegaye, Chair of the Department of Bioengineering, Civil
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principles Selection Criteria Ph.D. in data science, computational biology, systems biology, bioinformatics, neuroscience, or other related fields Strong experience in data analysis and handling omics
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Position Description: As a Postdoctoral Researcher and according to the National Institute of Health (NIH) and the National Science Foundation (NSF), you will be an individual who has received a