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. Candidates should submit a cover letter, CV, research statement, teaching portfolio, and writing sample via Interfolio at https://apply.interfolio.com/175940 . We are seeking candidates who can demonstrate
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Publish and present your results in peer-reviewed journals and at international conferences Supervise student theses Your Profile: Excellent Master`s degree with a strong academic background in
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Collaborate effectively across disciplines—working with clinicians, biologists, and data scientists Present your work at international conferences and publish in high-visibility journals Who we are looking
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subject to satisfactory performance and funding availability. Applicants should possess a Ph.D. degree in Biochemistry, Cellular Biology, or a related field, and demonstrate exceptional experimental
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subject to satisfactory performance and funding availability. Applicants should possess a Ph.D. degree in Biochemistry, Structural Biology, or a related field, and demonstrate exceptional experimental
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present analyses of data of a variety of types and for a variety of audiences (20%) MINIMUM REQUIREMENTS This position requires a Master's Degree in Public Health, Statistics or equivalent graduate level
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, conservation, heritage management and archaeology. For more information, please visit our Department pages at https://www.durham.ac.uk/departments/academic/archaeology/ . About you We seek a visionary academic
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will communicate effectively both verbally and in writing, demonstrate sound judgment and decision-making skills, work independently with initiative, and collaborate effectively as part of a team
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
that the proposed approach has a reasonable chance of meeting the key metrics Develop and demonstrate proposed approach that is consistent with the analysis/simulation results. This include test detectors Analyze how
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Location: Singleton Campus, Swansea About The Role This is a Fixed Term post until January 2028 working full-time. The Population Data Science group at Swansea University (https