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hardware. Relevant programming experience developing, implementing, debugging, and maintaining applications with Python. Experience training ML models using large-scale and specialized hardware. Experience
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Sarah Kate Bearman). (2) NAMI-funded pilot study of flexible mental health literacy program for middle school students (PIs Sarah Kate Bearman and Molly Lopez (UT Austin)). (3) Foundation-funded
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seeking a motivated Researcher 2 to join our team. This position is critical to CFAES’s research and Extension mission, supporting projects such as the Overholt Drainage Education and Research Program, the
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. Development of multimodal AI models that fuse data from multiple types of sensors to accurately model and predict wind turbine blade damage. Establish and develop data science pipelines for wind turbine blade
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of enterprises who drive value for their stakeholders and society at large through our MBA, MS, PhD, and Executive Education programs. We are equally committed to cultivating new scholars and teachers, and to
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protocols. Proficiency in mathematical modelling, data analysis, and programming (Python, R, etc.). Experience with blockchain technologies and smart contracts is a plus. Excellent analytical, problem-solving
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, working at the intersection of multiple fields;- Connecting and collaborating with other national and international researchers in the life sciences and computer science;- Writing and presenting/publishing
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations. Be You
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-to-edge computing frameworks and their applications in energy systems · Proficiency in programming languages such as Pytorch/JAX, AWS, HyperSim · Knowledge of energy market mechanisms and
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. · Proficiency in programming languages such as Python, Pytorch/JAX, AWS. · Knowledge of energy market mechanisms and policy considerations is a plus. · Excellent communication skills and the ability