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. Dairy Forage Research Center (DFRC) has an opportunity for a Post Doctoral Research Fellow to engage in a process and statistical modeling research opportunity focused on improving nutrient use efficiency
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, plant pathology, bioinformatics as well as the statistical analysis of collected data. You will also be able to improve science communication experience through the drafting and publishing of scientific
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in the one of the relevant fields. Preferred Skills: Strong skills in data analysis and database management; statistics and programming knowledge preferred (e.g. R/R Studio, SAS, Stata, SQL, Python
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data collection with quantitative statistical and modeling analyses and are collaborations with natural resource managers, veterinarians, and academics. You will learn to develop and conduct research
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degree to gain experience conducting economic, epidemiolocal, and statistical analyses in a public health setting. Throughout the fellowship, you will have opportunities to collaborate on multidisciplinary
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also receive training in use of Excel spreadsheets, PowerPoint, Visio, and plotting and statistical analysis using various software platforms. Learning Objectives: Under the guidance of a mentor you will
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: This fellowship provides an immersive research and professional development experience for a postdoctoral scholar interested in postharvest fruit quality, analytical chemistry, and metabolomics. You will
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sequencing) Familiarity with statistical analysis or bioinformatic software (R, Python, QIIME2, BLAST-based workflows etc.). Scientific writing (i.e. thesis chapters, manuscripts.) Stipend $74,678.00 Yearly
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epigenetic variation from sequencing datasets in focal species. Generate genome assemblies from long-read sequence data and build pangenomes. Design and implement statistical methods for QTL mapping and
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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