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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 21 hours ago
) for a collaborative project with a starting date of April 1, 2020. The candidate will be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and
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. The project develops modular training activities, supports interoperability across infrastructures (in particular eLTER and ICOS - Integrated Carbon Observation System), and promotes collaborative
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University of Oslo and UiT The Arctic University of Norway | Norway, Michigan | United States | about 10 hours ago
Stakkevollan 9037 Tromsø Norway The address could not be found. About the positions Interested in pursuing a PhD in machine learning in an interdisciplinary and collaborative environment in Norway? Integreat
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curiosity, reliability, and a collaborative approach to shared research, with a commitment to developing an independent research identity. Minimum Qualifications PhD in computer science, machine learning
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Requisition Id 17231 Overview: We are seeking a Postdoctoral Research Associate who will focus on the development, application, and optimization of an active learning workflow for dataset
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analytical technology (PAT) adds cost, time, and introduction of human error. This project aims to develop a novel, label-free microbial detection method, coupled with machine learning tailored for
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excellent opportunity for a postdoctoral researcher interested in experimental nuclear physics, machine learning, and detector development. The successful candidate will contribute to the Iowa State
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: Token compression and adaptive token pruning; Distributed and collaborative inference strategies; Mixture-of-Experts (MoE) architectures for scalable inference; Resource-aware and latency-constrained
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mechanisms of motor learning and long-term motor memory. In this role, you will work at the intersection of systems neuroscience, neurophysiology, imaging, and computational analysis to uncover how
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mechanisms of motor learning and long-term motor memory. In this role, you will work at the intersection of systems neuroscience, neurophysiology, imaging, and computational analysis to uncover how