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Deep Learning, Neural Networks, and Machine Learning. Experience with popular deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). Strong commitment to teaching excellence and student-centered
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PhD studentship: Adaptive Logic-Based Machine Learning Grids Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs
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Provide invaluable support to students in Library / Learning spaces on the Camperdown Campus Casual contract (approx. 2-3 shifts a week) Commencing beginning of Semester 1 2026 HEO 4 Step 1 $56.85
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an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT) sensor data. This will be a small system-on-chip designed
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reservoirs. By embedding governing equations and boundary conditions directly into machine-learning models, the project aims to enable efficient exploration of high-dimensional parameter spaces without
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This Employer https://main.hercjobs.org/jobs/21940328/senior-ai-machine-learning-engineer Return to Search Results
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This Employer https://main.hercjobs.org/jobs/21940248/senior-ai-machine-learning-engineer Return to Search Results
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Intelligence & Machine Learning Engineer/Scientist I works within the Artificial Intelligence Operations and Data Science Services group (AIOS) in the Informatics & Analytics department of Dana-Farber Cancer
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prototyping with access to Lancaster's high-performance computing facilities. Essential Requirements • PhD in Machine Learning, Computer Science, Computational Neuroscience, or related field
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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