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metabolic changes during these events. Techniques may include using GC and LCMS for metabolic flux analysis using pathway labelling as well as analysis of changes in peel surface polymers due to cold chain
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part of the implementation of portfolio evaluation methodologies, and gain valuable experience being a part of a partnership-driven program within a federal science agency. Mentor: The mentor
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to be renewed for additional research periods. This internship may be part or full-time. Appointments may be extended depending on funding availability, project assignment, program rules, and availability
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mentor, the participant will conduct research on targeted and non-targeted analysis of per- and polyfluoroalkyl substances (PFAS) in food and food contact materials. The participant will be a part of
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: The appointment is full time or part time. Participant Stipend: The participant will receive a monthly stipend commensurate with educational level and experience. Stipend range estimated $3,500 - $4,500 monthly
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for wheat, barley, oat, and rye. As part of a highly collaborative, multi-disciplinary team, the selected candidate will use his/her computational biology and machine learning background to help develop tools
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sustainability and interactivity, primarily for wheat, barley, oat, and rye. As part of a highly collaborative, multi-disciplinary team, the selected candidate will use his/her computational biology and machine
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to have advanced hands-on learning experiences that will greatly enhance your professional career goals. Why should I apply? Under the mentorship of WRAIR staff, you will be part of establishing a
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that could predict the likelihood of contamination with certain environmental conditions. Under guidance of the mentor the participant will design and be a part off all aspects of the experiment, from
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natural hazards under a changing climate. You will be part of team that will develop actionable plans for: Integrating climate information into infrastructure (levee) adaptation planning Assessing