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scientific analysis for gravitational-wave astronomy and/or statistical machine learning for science. Those with a more general background in applied mathematics, statistics, data science or computational
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the intersection of marine ecology, ocean technology, machine learning, and high-throughput biological imaging. This position offers a rare opportunity to help pioneer the use of advanced shadowgraph
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Phd/doctoral Tromsø, Norway Apply UiT The Arctic University of Norway Physics and Technology/Machine Learning Group UiT Noregs arktiske universitet Postboks 6050 Stakkevollan 9037 Tromsø Norway The
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clinical practice teaching and simulation. There will be opportunities to support the design and development of teaching, simulation and e-learning resources. The role is designed to provide continuity
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University of Oslo and UiT The Arctic University of Norway | Norway, Michigan | United States | about 12 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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to the ITS Service Desk Manager, the IT Service Technician prov ide s customer -focused, hands-on hardware a nd e n d -user suppor t with an emphasis on Apple devices . T he position perfo rms devic
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environmental monitoring. You will develop and apply state-of-the-art deep learning methods for land cover classification and change detection using multi-source aerial and satellite imagery. Working within an
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develop an End-to-end misinformation and disinformation protection, awareness and mitigation pipelin e. We will be recruiting a research engineers or fellows, as part of a wider project, to conduct research
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learning pipelines for counterfactual disease trajectory simulation for EMED, an NIH-funded multi-modal AI project. · Architect and evaluate multi-site cardiotoxicity risk prediction models
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phase behavior in ultra-deep wellbore environments (10 km depth). Excellent understanding of drilling automation systems and modern control theories (including multivariable control, learning-based