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at Swansea has developed a multiscale platform that combines Monte Carlo simulation of thermal loading with scenarios of material transformation under realistic fusion-specific neutron irradiation
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monograph. The two positions. We are recruiting two PhD candidates within GRID: Position 1 — comparative cross-national: developing and analysing the cross-national dataset to test the project’s theory across
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the Netherlands and Japan that aims to develop next-generation heterogeneous computing platforms by combining emerging hardware technologies with novel computing paradigms. The position provides extensive
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You will develop the theory that connects quantum experiments with mechanical systems to questions in fundamental physics, establishing what such experiments can and cannot reveal about nature. Job
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. This highly innovative project aims to develop a fully AI driven digital twin that enables real-time optimization and control of fermentation processes. The candidate will develop the digital twin for microbial
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, Supramolecular and Bio-Inspired Catalysis (HomKat ) group You will be working within a bigger national team of researchers financed by GroenvermogenNL (WP6). The research at the UvA will focus on development
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Professor Aldo Faisal from Imperial College London involved as international project partner. Research objectives and tasks You will contribute to the development and empirical validation of models
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(e.g., taxonomy, evolution, ecology, and geology). You will receive dedicated supervision from experienced researchers and work closely with several international experts and collaborators with whom
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an experimental aerodynamics team has concentrated on the development of advanced non-intrusive measurement techniques such as Particle Image Velocimetry, InfraRed Thermography and Background Oriented Schlieren
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
insight into the characteristics and challenges of the engineer-to-order shipbuilding industry and develop frameworks and knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative