13 programming-"the"-"DAAD"-"IMPRS-ML"-"FEMTO-ST"-"P"-"BioData"-"Prof" "Dr" positions at Zintellect
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publish the results of these projects in peer-reviewed scientific journals. Mentor(s): The mentors for this opportunity are Dr. Jianwei Qin (jianwei.qin@usda.gov ), Dr. Moon Kim (moon.kim@usda.gov ), and Dr
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are Dr. Lina Castano-Duque (Lina.Castano.Duque@usda.gov ) and Dr. Matthew D. Lebar (matthew.lebar@usda.gov ). If you have questions about the nature of the research, please contact the mentor(s
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opportunities for students under the mentorship of an Air Force Research Laboratory (AFRL) scientist. This program posthumously honors Dr. Daniel W. Repperger, who mentored many young people during his 35-year
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to improve soybean for enhanced disease tolerance by accelerating breeding programs and enabling the engineering of new and improved traits. Learning Objectives: As a result of this experience, the participant
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landscape scale Preparing and submitting peer-reviewed publications Preparing and presenting presentations at scientific and stakeholder meetings Mentor(s): The mentor for this opportunity is Dr. Hannah J
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, neuroscience, toxicology, physiology, psychology, and immunology. For more information about the MRICD, please visit https://usamricd.health.mil. For more information about this project, please contact: Dr
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-USDA researchers to address complex questions in livestock disease transmitted by arthropods will be available. Mentor(s): The mentors for this opportunity are Dr. Lee Cohnstaedt (Lee.Cohnstaedt@usda.gov
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Agricultural Food Systems Research Unit (RAFSRU) is conducted under the USDA ARS Human Nutrition National Program (NP107). The unit’s mission is to prevent and mitigate nutrition-associated chronic diseases
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Agricultural Food Systems Research Unit (RAFSRU) is conducted under the USDA ARS Human Nutrition National Program (NP107). The unit’s mission is to prevent and mitigate nutrition-associated chronic diseases
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Program of the USDA ARS offers research opportunities to motivated postdoctoral fellows interested in solving agriculture-related problems at a range of spatial and temporal scales, from the genome