69 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "University of London" research jobs at University of Miami
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QUALIFICATIONS Education: Ph.D. in relevant field Experience: No prior experience required Knowledge, Skills and Attitudes: • Skill in collecting, organizing, and analyzing data. • Ability to recognize, analyze
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in Miami, FL. The Postdoctoral Scholar will be responsible for developing and leading research projects, conducting data analysis, and implementing programs in Artificial Intelligence in Medical
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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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: 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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to perform analysis and produces written reports on results. 5. Collects pilot data to help support new and competing renewal applications. 6. Supervises undergraduate and graduate research students and
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governance, and environmental philanthropy Lead in-depth case studies of community-led conservation in Indonesia, including data collection and analysis as well as extensive fieldwork Coordinate and contribute
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analyze a suite of high-resolution regional ocean biogeochemical model simulations to provide actionable information to decision makers as part of NOAA’s Changing Ecosystems and Fisheries Initiative (CEFI
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, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders. This is a core job profile description
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, or cell biology preferred. No prior experience required Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems. Ability to exercise sound
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results in support of applicable project goals. 2. Assists with assessing the feasibility of implementing innovations. 3. Assesses data trends and develops reports and presentations. 4. Supports