37 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "INESC TEC" Postdoctoral research jobs at University of Miami
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. The successful applicant will have a strong record of independent research and a background in experimental and/or computational biophysics, fluid mechanics, soft matter, or a related field. A doctoral degree
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contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication
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team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills
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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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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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, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders. Department Specific Functions This post
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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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and cell biology techniques including mammaliam cell culture Must have experience with CRISPR and shRNA technology Must have some experience working with vertebrate animal models Must have excellent
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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