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quantum photonics Collaborate with faculty and research staff on the development of theoretical models, experimental design, and data interpretation Prepare and publish high-quality scientific papers and
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, key Arctic geological archives of past warmth and employ climate models to bring our current knowledge about a warm Arctic beyond the state-of-the-art. The major strength and aim of i2B
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Cryptographic Hardware Engineering System-level modelling and simulation Proven publication record in relevant peer-reviewed venues. Excellent analytical, problem-solving, and system-level thinking skills. Strong
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Hardware Engineering System-level modelling and simulation Proven publication record in relevant peer-reviewed venues. Excellent analytical, problem-solving, and system-level thinking skills. Strong verbal
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to improve model simulation, and attribution of the impacts of SAI Design further AI/ML approach to test hypothesised mechanisms that emerge from the analysis Main Duties The responsibilities may include some
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sampling-based and reinforcement learning-based motion planning algorithms for multiple robotic arms in automotive manufacturing, including testing, performance evaluation in both simulation and actual
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Requirements: PhD degree in Electrical Engineering or related subjects. Expert knowledge in power system modeling and simulation. Research experience with power system operation and optimization. Excellent
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algorithm that reliably simulates two-phase flow. The PhD projects will be part of developing and analyzing relevant numerical methods and implement them in an open-source framework that will be made openly
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learning to model solid-state materials while collaborating with experimentalists. Qualifications • Ph.D. in Computational Physics/Materials Science, or related field (completed by start date
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Responsibilities: Lead the design, implementation, and validation of data-driven Digital Twin (DT) models to simulate and forecast dynamic energy demands and renewable generation patterns within shipyard operations