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Location: An ORISE Fellowship is available with the Vision Health Initiative (VHI) in the Surveillance, Epidemiology, Economics and Statistics Branch (SEESB), Division of Diabetes Translation (DDT) within
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60 months or anticipated to be received by 7/31/2027 11:59:00 PM. Discipline(s): Computer, Information, and Data Sciences (3 ) Life Health and Medical Sciences (4 ) Mathematics and Statistics (1
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fields (data science, bioinformatics, health informatics, computer science, information systems, statistics, public health, biological sciences, microbiology, or a related field). Degree must have been
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, SPSS, Stata, and basic descriptive statistics. Experience analyzing surveillance, epidemiologic, or environmental health datasets. Ability to conduct interviews and synthesize qualitative findings
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nutrition Experience in data processing, statistical analysis, and interpretation of data Ability to develop crop nutrition aspects of team field experiments Point of Contact Sara Beth Eligibility
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, RNA/DNA extractions, aseptic technique) Bioinformatics, Computational Biology, or Statistics experience Experience handling fungal cultures in a research setting Strong problem-solving skills Strong
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biology, genetics, and artificial intelligence, including: statistical methods of marker-trait association, methods for determining syntenic relationships and for calculating and representing pan-genome
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will also receive training in statistical analysis, interpretation of experimental results, and preparation of scientific findings for publication in peer-reviewed journals. Throughout the project, you
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publications that demonstrate evidence of the afore mentioned skills. Experience taking metabarcoding datasets from raw sequence reads to taxonomic assignments to statistically-informed summary analyses
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reviews, statistical programming and analysis using software such as SAS, SUDAAN, and R, data interpretation and visualization, scientific writing, and scientific communication. You will also develop skills