40 professor-computer "https:" "https:" "https:" "https:" "https:" "Keele University" Postdoctoral positions at University of Miami in United States
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funded by the NOAA Global Ocean Monitoring and Observing (GOMO) program. The primary objective of this role is to undertake a comprehensive investigation to quantify the impact of various ocean
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: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders
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. Comprehensive Center for Brain Health is directed by Dr James E. Galvin, MD, MPH, Professor of Neurology and Psychiatry & Behavioral Sciences. CCBH is a state-of-the-art 17,000 square foot clinical research
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of computational biology, Genomics, machine learning, and data science, contributing to the development and evaluation of advanced algorithms for analyzing large-scale biological datasets. This role is ideal
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to apply for a faculty or staff position, please review this tip sheet . The Department of Medicine, Cardiovascular Division is searching for a Postdoctoral Associate, Computational Simulations Engineer
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of study, both on a computer and aboard ship, as assigned. Prepares technical reports and scientific papers for publishing. Maintains and applies a substantial knowledge of state-of-the-art observations
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to treatment. We are seeking highly motivated individuals to develop and implement innovative computational approaches for analyzing high throughput genomic and epigenomic data, including but not
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contribute to program development, mentor trainees, and support faculty in advancing research and educational objectives. This position is ideal for a motivated researcher seeking to develop expertise, drive
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: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication
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fundamental computational barrier: sequenced reads cannot be uniquely mapped to specific loci, forcing researchers to discard 5–30% of sequencing data or rely on family-level averages that obscure critical