Aresearch opportunityiscurrently available with the U.S. Department of Agriculture (USDA), Agricultural Research Service (ARS)located in Frederick, Maryland.
The Agricultural Research Service (ARS) is the U.S. Department of Agricultures chief scientific in-house research agency with a mission to find solutions to agricultural problems that affect Americans every day from field to table. ARS will deliver cutting-edge, scientific tools and innovative solutions for American farmers, producers, industry, and communities to support the nourishment and well-being of all people; sustain our nations agroecosystems and natural resources; and ensure the economic competitiveness and excellence of our agriculture. The vision of the agency is to provide global leadership in agricultural discoveries through scientific excellence.
Research Project:We are seeking doctoral-level (Ph.D., M.D., D.V.M.) scientists passionate about researching zoonotic and emerging diseases that impact human and animal health. Under the guidance of a mentor, the Postdoctoral fellows will conduct advanced machine learning-based research to analyze histopathology slides from high-consequence viral infections, such as Crimean Congo Hemorrhagic Fever, Nipah, Hendra, Ebola, and Marburg viruses, with the ultimate goal of understanding mechanisms of pathogenesis.
Learning Objectives:Fellows will learn to build pipelines for training machine learning models and slide analysis. Fellows will gain expertise in histopathology, and machine learning using TensorFlow, U-net, and QuPath. Under the guidance of a mentor, fellows will be expected to develop a scientific project and publish in peer-reviewed publications. As a result of participating in this fellowship, participants will enhance. thier:
Projects will be jointly performed with Dr. C. Paul Morris at the Integrated Research Facility at Fort Detrick in Frederick Maryland. Fellows may be required to undergo background investigations to obtain access to facilities.
Mentor(s):The mentor(s) for thisopportunityis Lisa Hensley(lisa.hensley@usda.gov). If you have questions about the nature of the research, please contact the mentor(s).
Anticipated Appointment Start Date: 2023.Start date is flexible and willdepend on a variety offactors.
Appointment Length:The appointment will initially be for oneyear, butmay bereneweduponrecommendation of ARSand is contingent on the availability of funds.
Level of Participation:The appointment is full-time.
Participant Stipend:The participant will receive a monthly stipend commensurate with educational level and experience.
Citizenship Requirements:This opportunity is available to U.S. citizens, Lawful Permanent Residents (LPR), and foreign nationals. Non-U.S. citizen applicants should refer to theGuidelines for Non-U.S. Citizens Detailspage of the program website for information about the valid immigration statuses that are acceptable for program participation.
ORISE Information:This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and ARS.Participants do not become employees of USDA, ARS, DOE or the program administrator, and there are no employment-related benefits.Proof of health insurance is required for participation in this program. Health insurance can be obtained through ORISE.
Questions:Please visit ourProgram Website. After reading, if you have additional questions about the application process,please emailORISE.ARS.Plains@orau.organd include the reference code for this opportunity.
Qualifications:
The qualified candidate shouldhave received a doctoral degree in one of the relevant fields or be currently pursuing the degree with completion before start of appointment. Degree must have been received within the past three years.
Preferred Skills:
Eligibility Requirements:
Degree: Doctoral Degree received within the last 36 months or currently pursuing. Disciplines: Communications and Graphics Design Computer, Information, and Data Sciences Life Health and Medical Sciences Mathematics and Statistics
Apply for USDA-ARS-P-2023-0162 by 22 Dec 2023.
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