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) participant, you will join a community of scientists and researchers in an effort to optimize collection methods and protocols for human biofluids. This project will be in support of the Air and Space
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community of scientists and researchers in an effort to prepare, test and optimize biological sensors in response to analytes of interest in water. The research team will explore methods to preserve
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, California, conducts research to enhance food safety and biosecurity by developing new methods for analysis of toxins and bacteria in foods, and safe and effective compounds and management strategies targeting
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, crop, and pest samples during field and lab activities. Be Introduced to Lab Techniques: Gain exposure to basic chemical and physical laboratory methods used to analyze agricultural samples. Develop Data
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to integrate diverse perspectives and convergent methods in addressing complex social dimensions of wildland fire management. Mentor: The mentor for this opportunity is David Flores (david.flores2@usda.gov
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, or unsupervised learning methods. Proficiency in Python and familiarity with scientific computing libraries such as PyTorch, TensorFlow, Pandas, NumPy, and related ML frameworks. Experience with large datasets
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the production, value, and safety of pecan, peach, nectarine, and plum crops. The postdoctoral fellow will help in implementing experiments to develop novel methods of controlling economically important pests
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recommendation of DOI and is contingent on the availability of funds. Level of Participation: The appointment is full time. Participant Stipend: Stipend rates may vary based on numerous factors, including
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interdisciplinary team composed of USDA-ARS and UC Davis experts! We are seeking a fellow to be a part of our research that involves assessing and monitoring aquifer recharge methods in California’s Central Valley
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data will be analyzed using statistical tools. Learning Objectives: During the appointment, you will have the opportunity to learn; Methods to inoculate and isolate bacterial pathogens from various fresh