243 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Washington in United States
Sort by
Refine Your Search
-
Listed
-
Field
-
Qualifications: MD or PhD in public health, epidemiology, statistics, biostatistics, math, or quantitative social sciences plus two years’ experience preferred. Experience with machine learning, data mining, and
-
Privacy, Engineering Education, Entrepreneurial Leadership, Hypothesis Generation, Interpersonal Communication, Leadership, Machine Learning (ML), Negotiation, Open Science, Operational Execution
-
advancement. We value continuous learning and innovation, providing you with access to ongoing education and professional development resources. Our practice is dedicated to fostering a positive clinical
-
information: https://facilities.uw.edu/ . Maintenance & Construction (M&C) is responsible for general maintenance, repair, and renovations of all University of Washington (UW) main campus facilities including
-
posting. Skills: Accounting, Adobe Acrobat, Analytical Thinking, Computerized Accounting, Computer Literacy, Deadline Management, Grant Administration, Grant Applications, Interpersonal Communication
-
, product management work, and and leadership responsibilities • Familiarity with artificial intelligence and machine learning approaches, including predictive modeling and precision analytics applied
-
for additional benefits that may be available: https://faculty.uwmedicine.org/wp-content/uploads/2019/09/UWP-Benefits-Summary-for-recruitingef-edits-v3.pdf . Qualifications Applicants must have: MD or DO degree
-
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
-
driving to outpatient account locations to obtain specimens if assigned the “Driving” responsibility. Specimen Processing : Logs tests in the computer and labels, centrifuges, prepares, aliquots, and
-
experience in evaluating, architecting, and integrating AI solutions, preferably in a consulting, academic or research environment. Hands-on experience with AI algorithms, machine learning, natural