264 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Washington
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the design, deployment and evaluation of advanced analytics, machine learning, and related generative AI capabilities that enhance clinical and operational decision-making, population health management
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Presentations, Discrete Mathematics, Genome Sequencing, Ggplot, Human Genomics, Machine Learning, Microsoft Office, Perl Programming, PLINK (Software), Probabilistic Modeling, Python (Programming Language
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machinery repair, pipefitting, steamfitting, welding, rigging, carpentry, machining, plumbing, and a working knowledge of power plant operations and electrical distribution systems. May respond to emergency
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staff to create a patient-centric experience. If you are looking for a patient-facing position that offers the opportunity to grow and learn with a promotional pathway, we would love to meet you. This
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significant industries in biotechnology, computer technology and communication, global health, and e-commerce. The variety of neighborhoods within Seattle and surrounding areas offer a diversity of environments
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in methodological innovation and demonstrable initiative to conduct independent analyses. Knowledge of machine learning, data mining, and analytic techniques. Experience working with external
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programs designed to strengthen and expand the skills of the public health workforce. This role is central to the School’s mission to advance population health through lifelong learning, workforce
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Hospital. The successful candidate will work with and teach students and trainees, including medical students and medical genetics residents. Administrative responsibilities will include serving on Division
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delivered entirely online using Zoom. Classes meet in the evenings, 6-9pm PST, once per week. Information on the PCE Machine Learning certificate program may be found at https://www.pce.uw.edu/certificates
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campus research stakeholders. - Keep abreast of emerging trends in product, design, and technology; learn about and introduce suggestions for new ways of working (e.g. AI/agentic design, new methodologies