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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
-dimensional datasets. Knowledge of experimental design, statistical analysis, model validation, and reproducible computational research practices. Evidence of scholarly productivity through peer-reviewed
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of Chemical and Biological Engineering Posting Number R260133 Posting Link https://www.ubjobs.buffalo.edu/postings/64055 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment
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-Doctoral Associate (9546 Post-Doctoral Associate) position. For more info on the division, visit http://www.sph.umn.edu/academics/divisions/biostatistics/. The successful candidate will work with Dr. Thierry
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outside of Duke University on cancer-focused research projects that aim to improve the understanding of clinical outcomes and advance statistical methodology. You will contribute to projects focused
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scientific publications as a first author in peer-reviewed, high-impact journals. Ability to work independently and manage complex projects, experience mentoring junior researchers (MSc or PhD students
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of MSc and PhD students and support ongoing research activities within the project Where to apply Website https://www.academictransfer.com/en/jobs/362790/postdoc-climate-adaptation-path… Requirements
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and metagenomic data. compile, manage, and analyze datasets with appropriate statistical methods including univariate and multivariate methods. lead preparation and publication of peer-reviewed
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of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R. They should
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and statistical analysis skills for experimental data interpretation. Rigorous scientific documentation practices, including maintenance of detailed laboratory notebooks and research records. Excellent
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 3 months ago
; proven expertise in statistics and epidemiology; English C1 and German B2.Desirable: proficiency in R (data management, statistical analyses, visualization) with applied examples; strong communication