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Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer programming, preferably python, and will ideally have experience in working with
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. The research aims to: 1) Delineate the chemical speciation and mineral phases associations of these critical metals in AMD wastes; and 2) Evaluate the implications of these associations for extraction processes
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research studies related to DBS, virtual reality, and trauma therapy. · Collaborate with Dr. Suthana and other team members to develop research protocols and methodologies. · Collect, process, and interpret
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about new methods, is a plus. Strong programming skills in Python or R, and Linux Shell; experience in genomics data processing and open source repositories e.g. GitHub is a plus. Strong motivation and
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Computer Science and Electrical and Computer Engineering departments, and the School of Medicine. The group emphasizes collaborative and multidisciplinary work and brings together expertise from machine learning