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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
process modeling) and laboratory wave tank experiments to explore turbulent seawater dynamics adjacent to ice. Opportunities may also exist to participate in planned field campaigns in Greenland
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graduate and undergraduate students. Job Requirements REQUIRED: PhD in plasma physics, high energy physics, nuclear engineering, or a closely related field; experience with Monte Carlo charged particle
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skills and experience: Essential criteria PhD qualified in relevant subject area * An excellent theoretical and practical knowledge of the human immune system Extensive experience of immunology-focused
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experiments, analyzes data, and prepares publications describing results. Helps in training and mentoring of lab personnel, including graduate and undergraduate students. Maintains good communication with lab
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applications. Contribute to research grant applications and proposal writing. Mentor PhD and Master’s students in battery materials research. Required Qualifications & Experience: Education: Bachelor's degree in
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to research grant applications and proposal writing. Mentor PhD and Master’s students in battery materials research. Required Qualifications & Experience: Education: Bachelor's degree in Chemistry, Materials
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field. Strong background in machine learning, particularly deep learning and natural language processing. Experience with transformer-based architectures (e.g., BERT, GPT) is highly desirable. Proficiency
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Extensive experience with CRISPR/Cas9 genome editing Extensive experience culturing, differentiating and performing experimental manipulations of human stem cells. * Please note that this is a PhD level role
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qualifications are desired or required: Completion of a PhD degree in the field of biomedical sciences. Previous experience of basic laboratory techniques, such as immunohistochemistry, western blot and cell
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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