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. Applicants must have relevant experience in computational structural biology. The successful applicant will implement and develop new computational methods using artificial intelligence (AI) and machine
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for Laboratory Animal Science (AALAS). Preferred Qualifications Basic computer skills (e.g. email, Excel, Word) Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be
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more about our research https://www.bcm.edu/people-search/pawel-stankiewicz-31243 . The candidate must have excellent computer, written, and oral communication skills, and have knowledge of basic
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computer skills. Demonstrated willingness to learn new techniques with instruction. Demonstrated strong work ethic, including ability to take initiative, prioritize tasks, use good judgment and complete
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-graduation. Strong documentation and organizational skills with the ability to keep accurate records of all work performed. Good analytical and computer skills. Baylor College of Medicine is an Equal
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research equipment. Communication and Interpersonal skills. Computer skills. Ability to follow safety protocols. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
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. The Martin lab focuses on understanding how developmental pathways are connected to adult tissue regeneration. We use a variety of biochemical, biophysical, imaging, genomic, and computational approaches
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Summary The Foulds laboratory is a dedicated translational and molecular oncology research program, rich with individual expertise and collaborative studies, which focuses on understanding
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. The Martin lab focuses on understanding how developmental pathways are connected to adult tissue regeneration. We use a variety of biochemical, biophysical, imaging, genomic, and computational approaches