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and prompt templates. Design and implement AI algorithms and systems, including but not limited to neural networks and machine learning, computer vision, intelligent decision-making, recommender systems
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 11 hours ago
, implementation science, organizational behavior, systems thinking, social/organizational network analysis, or related fields plus three to five years’ relevant experience (or equivalent combination of training and
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Future. Discover. Together. The “Wireless Communications and Networks” department at the Fraunhofer Heinrich Hertz Institute (HHI) develops wireless communication systems for future mobile network
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Role: Research Associate in Quantum Networks Grade and Salary: Grade 7 - £37,694 - £47,389 per annum FTE and working pattern: Full Time (1FTE), Fixed Term for 5 months Holiday Entitlement: 33 days
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requiring system design, networking and/or integration. Serve as a primary clinical engineering and healthcare technology resource for hospitals and healthcare organizations. Apply advanced clinical
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groups including Tuākana , Rainbow, Women of Colour, Māori, Pacific, Muslim, and Disabled Staff network and our Waipapa Marae The Department of Mathematics is the largest and strongest Mathematics
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Network ReDiLEEP (https://redileep.eu/ ). ReDiLEEP brings together leading universities, research institutes, and non-academic partners across Europe and beyond to advance response diversity research and
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, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. EOS maintains a regional network of geophysical observation stations in collaboration with neighboring
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21 Sep 2026 Job Information Organisation/Company Łukasiewicz Research Network – PORT Polish Center for Technology Development Research Field Neurosciences Researcher Profile Recognised Researcher
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computing ecosystems Proven experience in developing and applying deep learning methods for image analysis, such as convolutional neural networks (CNNs) for segmentation and classification Practical