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machine learning. We focus on inductive logic programming (ILP), which learns logical rules from data. We primarily use automated reasoning techniques, such as SAT/ASP/SMT/MaxSAT solvers, to learn rules
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Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com , then access Find Jobs from the Workday
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courses as directed Computer skills/familiarity with word processor and spreadsheets Ability to read and interpret various types of blueprints and schematics Exposed to adverse conditions such as electrical
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of Artificial Intelligence, Machine Learning, and quantum computing with a focus on drug discovery and development. Appointments to the faculty of The University of Alabama are based on the personnel requirements
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between ISE and/or interdisciplinary methods and applications in smart manufacturing, Clear agenda for substantially contributing to current department-funded research, and Passion for mentoring and leading
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 1 day ago
"Cloud physics" (f/d/m/x) Background With the project Deepcloud, we will use the machine-learning revolution to better understand clouds and their role in the climate system. We aim to train a deep
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and teaching/faculty experience with a passion for training students and residents, and a commitment to scholarship. Candidates must also submit a cover letter, three letters of reference, a current CV
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program. Candidates at the Full Professor level should have a national scientific reputation, current research funding and a history of mentorship and leadership. Certifications/Licenses Required Knowledge
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of computer use and various programs Good communication and organizational skills Ability to read and interpret drawings/blueprints Familiar with the current Nova Scotia Occupational Health & Safety Act, as
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machine coding. Augmented and virtual reality applications, 360° video, point clouds, and advanced representations such as Gaussian Splatting require a rethinking of compression models to take into account