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evaluate machine learning and statistical models Assist with experiment tracking, result analysis, and reproducibility Use data visualization tools to visualize data analysis and learning results Contribute
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extramural funding. Qualifications Ph.D. in Bioengineering, Materials Science, Chemistry, Pharmaceutical Sciences, or a related discipline, with a demonstrated track record of research publications
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sources and coding tasks. Establishment of a reproducible infrastructure for data preparation, training/fine-tuning, experiment tracking and documentation (including support from student assistants
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outstanding track record in research; Ability to conduct research independently while effectively engaging in a team environment; A proven record of scientific productivity evidenced by peer-reviewed
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-omics, or Bioinformatics A strong track record of high-quality research, demonstrated by publications and successful grant applications At least three years of postdoctoral research experience is
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 3 months ago
discipline and will have a track record in publishing epidemiological research analysing large electronic health records databases. Ensure delivery of timely quality outcomes, through providing the right
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methodologies are preferred. Requirements: Applicants should possess a relevant PhD degree with a solid and outstanding track record in research. They should have a solid statistical background, and a strong
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of Health Outcomes and Biomedical Informatics at the University of Florida invites applications for a non-tenure track Research Assistant Professor position in the Division of Biomedical Informatics. The
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different types of menopausal estrogen hormone therapy on urogenital microbiome composition and function. The successful postdoctoral applicant should have a proven academic publication track record
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technologies. Track record of publications in high-impact journals. Working time and salary Your job title will be Research Scientist (C2/R2) depending on your educational background 100% time (40 hours/week