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and clinical data. Qualifications Qualifications PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, or a related field. Strong background in machine learning, data
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multidisciplinary team of engineers, hydrologists, and environmental scientists to integrate simulation results with experimental and field data. Apply machine learning and data analytics techniques to improve model
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, parallel and distributed computing, machine learning, or data analytics. The successful candidate will possess excellent organizational, interpersonal, problem-solving and communication skills, including
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