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Internal Number: 528197 Pay Grade/Pay Range: Minimum: $53,500 - Midpoint: $66,900 (Salaried E8) Department/Organization: 214251 - Electrical and Computer Eng Normal Work Schedule: Monday - Friday 8:00am to 5
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Areas: Data Science / Computer Science , Machine Learning Computer Science / Artificial Intelligence , Computer Architecture , Embedded Systems, Edge Computing, and Mobile Computing Systems , Human
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increments; excursion theory of Markov processes; Tsirelson's theory of stochastic noises; deep/machine learning; Stein's method and the central limit theorem; copulas; actuarial mathematics). Where to apply E
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 13 hours ago
medical leave after 12 months of continuous service. We also offer an abundance of training and development programs through our Dare to Learn Academy , and the employee assistance program , many of which
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administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate Optical Quantum Computing and Machine Learning 51 Faculty of Physics Startdate: 01.02.2026 | Working hours
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, machine learning and deep learning. The project Motivation: Interpreting the genome means modeling the relationship between genotype and phenotype, which is the fundamental goal of biology. Achieving
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at DePaul University More Jobs from This Employer https://main.hercjobs.org/jobs/21946755/adjunct-faculty-in-computer-ethics Return to Search Results
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Posting Summary Logo Posting Number STA00037PO26 Job Family Healthcare Job Function Physician USC Market Title Medical Director Link to USC Market Title https://uscjobs.sc.edu/titles/133039 Job
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, therefore prior expertise in these topics are highly encouraged: Quantum Machine Learning (QML), Machine Learning on Quantum Computers, Security of Quantum Circuits, Design Automation and Tools for Quantum
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Development • Collaborate with faculty and research teams to design and deploy AI-based monitoring systems for shrimp and fish culture • Develop machine learning models for automated detection of feeding