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research activities and gain experience working within an academic laboratory environment alongside team members with varied levels of experience. You will receive structured mentorship and guidance
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of biologic products. Learning Objectives: The fellowship will provide you structured training in applied regulatory science, linking process understanding of novel manufacturing technologies to evolving
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advantageous. Additional preference will be given to candidates with computational experience in protein structure–function prediction, metabolic or biochemical pathway analysis, machine learning applications in
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analysis experience and scientific writing ability Experience with systematic or scoping reviews (or other structured knowledge-synthesis methods) Experience in R or Stata Knowledge of experimental and
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structure among and between accessions in the collection The development of a genetically representative core collection Correct accession taxonomic assignments Redundancy identification leading
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to identify complete gene structures and associated coding sequences. Gene Ontology and KEGG database annotations will be performed for protein annotation. Learning Objectives: Under the guidance of a mentor
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to bacterial genome organization and function, gene regulation (host and bacterial), and microbial community structure in the context of host–pathogen interactions in food animals. Ability to perform
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, weather and vegetation datasets and to format complex model output into appropriate structures, troubleshoot errors and independently develop solutions, communicate and coordinate with research team members
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of healthy foods with healthful ingredients. In collaboration with the Grain Science and Industry Department at Kansas State University and the USDA-ARS Grain Quality and Structure Research Unit in Manhattan
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topics for independent study projects include modeling carbon tradeoffs under unplanned fire and the long-term outcomes of restoration treatments for structure, composition, and tree vigor. The fellow will