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) epidemiology, bioinformatics, statistical genetics, data science, machine learning, or a closely related discipline, and have experience with research in obesity, diabetes, cardiovascular disease, and/or life
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next generation sequencing data (e.g., RNA-seq, whole genome/ exome sequencing). Uses state-of-the-art bioinformatical and statistical tools. Develops new statistical methods to answer biological
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morphology, statistics, medical imaging analysis, Python coding. In addition, successful candidates must either have demonstrated a commitment to building an inclusive, equitable, and diverse campus community
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and prognosis. Ideal candidates will have strong statistical and programming skills in R and strong scientific writing skills. Candidates with experience analyzing and managing large-scale “omics
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to these projects. For full consideration, applicants must have a passion for field and/or greenhouse work, strong scientific writing skills, statistical expertise, and a history of performing strong, creative
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to better understand the physical and statistical correlation between hurricanes and heatwaves and develop better ways to estimate their joint risk evolving with the changing climate. The Term
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, Computer Science, or related discipline. The successful candidate will possess a strong background in Biology, Statistics/Mathematics and/or Computer Science. Extensive experience in software and algorithm
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high level of expertise in R coding and the application of statistics to multivariate datasets. The person hired will be required to travel to the Royal Botanic Gardens at Kew regularly to liaise with
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differs. This will be done using register based epidemiology. The main task is the production of scientific articles for publication. The applicant is expected to plan and perform statistical analyzes
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, including periodical/literature search and utilizing specialized skills and statistical software in related field to analyze the collected data; manuscript writing for publication in scientific journals and