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background in machine learning, predictive modeling, or applied AI Proficiency in Python and/or R; experience with libraries like scikit-learn, XGBoost, TensorFlow. -Experience working with real-world datasets
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systems.10% - Assist in writing manuscripts and grant writing. 10% - Train undergraduate and graduate students. 20% - Other duties as assigned. Required Education: PhD in life sciences, statistics
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physiological experiments to elucidate factors critical for nutrient transport and successful feeding. -Collection of data and keeping of detailed records of results, as well as utilizing computer programs and
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documentation of research. Good computer and communication skills. Ability to multi-task and work cooperatively with others. **Position is contingent on funding availability** Job Responsibilities: Laboratory
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current projects in 7 different species. The candidate will learn analytical techniques, including high-resolution re spirometry, multiplex assays using MesoScale Discovery, cryosectioning and
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opportunity to contribute to developing educational outreach materials, mentor undergraduate and graduate students, and participate in grant writing. Required Education and Experience: PhD in animal science
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will have the opportunity to contribute to developing educational outreach materials, mentor undergraduate and graduate students, and participate in grant writing. Required Education and Experience: PhD
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: -PhD in relevant field (weed science, agronomy, ecology, plant science, etc.) Continued employment in this position is contingent upon availability of funds. Please attach the following to completed
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Experience: PhD in reproductive biology, cell and developmental biology, genetics, or similar field Molecular biology experience. Animal research Conducting statistical analyses. Preferred Education and
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records of results, as well as utilizing computer programs and databases to conduct analyses. -Perform experiments needed to evaluate the nutritional status of various engineered microbes for gene edited