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application of foundation models for fungal DNA and protein sequences. With ARS and external AI knowledge-holders, you will adapt long-context DNA language models to fungal genomes. These DNA-language models
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characteristics, photosynthetic capacities, adaptability, competitiveness, and responses to stress and other fitness criteria of wild-type versus herbicide-resistant plant biotypes. You will contribute to studies
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The qualified candidate should be currently pursuing or have received an associate's, bachelor's, master's, or doctoral degree (including DVM, PhD, and MD) in the one of the relevant fields. Degree must have been
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conclusions. Be a self-starter who can participate effectively with changing outcome goals. A complete application consists of: Profile Information Application Questions (goals, experiences, and skills relevant
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collection to include neuropsychological assessments, physiological tracking, and self-report methodologies of military personnel. Learning how randomized controlled trials evaluating psychological and
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[email protected] and include the reference code for this opportunity. Qualifications The qualified candidate should have received or currently pursing a PhD in one of the relevant fields, i.e., Analytical
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, etc.) Knowledge of environmental health science highly preferred Research with microplastics For training with the SSS, it is preferred that you have a PhD or be a postdoctoral researcher For training
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Participation Program at the U.S. Department of War . Qualifications The qualified candidate will be a current faculty member at an accredited institution of higher education and possess a PhD in Public Health
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independently as well as with a team; Be a self-starter capable of being in a fast-paced environment; Willing to learn from a variety of situations and interpersonal dynamics; Ability to leverage interpersonal
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diabetes. Participate in systematic reviews and meta-analyses examining factors associated with diabetes prevention, management, self-care, awareness, and health outcomes. Strengthen skills in longitudinal