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Siri Pedersen 9th August 2026 Languages English Norsk Bokmål English English PhD Fellowship in Data-Driven Optimization of Multi-Energy Systems Apply for this job See advertisement Job description
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We use cookies which are necessary to make our site work. We may also use additional cookies to analyse, improve and personalise our content and your digital experience. For more information, see our Cookie Policy and the list of Google Ad-Tech Vendors . You may choose not to allow some types of...
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approaches. Collecting and integrating non-radiological (clinical) data for comprehensive analysis. Optimizing imaging protocols and scanner workflow. Contributing to ethics applications and study preparation
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development, optimization, and assessment of shape-sensing techniques
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community. We are now looking for a Doctoral Researcher in AI and Quantum-Inspired Optimization for Sustainable Energy Systems Are you passionate about developing AI-based and quantum-inspired solutions
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— and pairing them with a forward-thinking approach — Duke Health Technology Solutions is revolutionizing the future of health care at Duke Health and beyond. DHTS APPLICATION ANALYST (OPTIME, ANESTHESIA
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are experts in systems science; we develop integrated solutions from care of the elderly to space robotics. We are now looking for a postdoctoral researcher in quantum algorithms and optimization for Life
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Prospect Intelligence & Pipeline Optimization provides strategic leadership for enterprise-wide prospect intelligence, prospect management, and pipeline optimization in support of the institution’s
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of the elderly to space robotics. We are now looking for a postdoctoral researcher in quantum algorithms and optimization for Life Science applications. Are you as excited about quantum technology and its future
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
current and future aircraft models + Evaluating how these differences affect fleet assignment and network planning + Optimizing airline operations (e.g., fleet composition, scheduling, routing) based on new