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: U.S. Citizen Only Degree: Doctoral Degree. Discipline(s): Chemistry and Materials Sciences (12 ) Computer, Information, and Data Sciences (17 ) Engineering (29 ) Life Health and Medical Sciences
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The qualified candidate should be currently pursuing or have received a doctoral degree (including DVM, PhD, and MD) in the one of the relevant fields. Degree must have been received within the past five years
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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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, or presentation materials under mentor guidance. 8) Receive regular mentoring and feedback on scientific communication, quantitative methods, and professional development. Learning Objectives: 1) Describe
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opportunities to conduct environmental scans and technology assessments of emerging AI capabilities; identify and characterize priority AI use cases across the Biothreat Radar signal-to-action pathway; explore
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approaches used to support reliable pathogen detection. This project aligns with IDPB’s public health mission to develop, improve, evaluate, and apply laboratory technology to detect microbial agents
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conservation or regenerative practices that enhance soil health, water retention, and the long-term resilience of agricultural systems. You will take part in studies evaluating irrigation technology and strategy
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USDA-ARS Molecular Biology Postdoctoral Fellowship in the Natural Products Utilization Research Unit
. This fellowship aims to improve crop protection from pests through the use of natural products, either by discovering safer natural pesticides or by manipulating their production in plants by genetic engineering or
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, Agricultural Engineering, Hydrology, or related field). Degree must have been received within the past five years, or anticipated to be received by December 31, 2026. Preferred Skills: Modeling experience
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accelerating the improvement of pecan cultivars through the discovery of novel genetic variation, development of genomic-assisted management techniques, or other applications of genomic technology in pecan