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Field
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data, identifying structural errors in the dataset, and for maintaining a record of all steps from data extraction to dataset assembly · Fitting of machine learning models · Development of instrumental
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, and the Texas A&M AgriLife onion projects • Conduct whole genome structural and functional analysis in vegetable crops • Manage marker-assisted selection in vegetable crops and collect plant
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characterizations. Experience with user facilities. Data analysis of structural, electronic, magnetic, and topological properties. Work with others to maintain a high level of scientific productivity. Publish
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multimodal data (e.g., self‑reports, structured clinical interviews, sleep). Skill in written and oral communication. Ability to work effectively in a highly collaborative environment. Ability to work
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genetics. Genomic analyses: next generation sequencing - DNA and transcriptome, chromosomal microarrays, cell culture, qPCR, gene regulation assays, 3D chromatin structure. Prior experience in the area of
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and unravel structure-function relationships. This position is suited for a highly energetic and self-driven researcher willing to work in highly collaborative teams. This position will involve a
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structure and statistical mechanics codes, and data science tools would be highly desirable Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and
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engineering to measure the structural and dynamic properties of individual biomolecules using spectroscopic techniques such as single-molecule Forster Resonance Energy Transfer (FRET) and cryogenic electron
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field. No experience required. Preferred Qualifications Ph.D. in Chemistry, Computational Sciences, Computational Biology, Structural Biology, Computer Science, Bioinformatics, Statistics, or related
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critical thinking skills; intellectual curiosity. Able to structure and formulate solutions to complex problems. Highly motivated and detail oriented with the ability to work independently and in close