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Field
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centre led by SINTEF Energy Research. FME NorthWind advances research and innovation for the sustainable development of wind energy, with particular emphasis on balancing technological deployment with
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decisions, and to study how agentic reasoning can navigate trade-offs between interpretability, statistical reliability, and computational feasibility – and to develop principled criteria for when a given
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mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få
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experimental molecular biology and data analysis. Doctoral candidates can specialize in genomic and molecular biology techniques, as well as in algorithms, statistics, and artificial intelligence for molecular
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motivated and enthusiastic and keen to push the boundaries of what is currently possible when imaging with an optical microscope. Combing the latest in optical developments with the recent surge in AI
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biochemists developing the labeling agents, data analysts developing analysis algorithms and physicists developing hardware. The candidate The candidate should have a firm base in in vivo imaging and cell
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important roles: data management and engineering, machine learning and data analytics, signal and image processing, algorithm design, optimisation and simulation, software engineering and automation and
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) and the University of California Irvine (UCI). The Research School "Foundations of AI" focuses on advancing AI methods, including energy-efficient and privacy-aware algorithms, fair and explainable
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establishment of a close-knit community of doctoral candidates where scientific experience and knowledge is exchanged. The topic of the IMPRS reflects the development of molecular genetics
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for the quantum-classical control and readout interface, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and