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: Metallurgy, Process physics modelling, and Process development and control. Our main aim is to fundamentally study and improve our understanding of welding and welding-based additive manufacturing processes
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Technology Laboratory (QTL) , we explore how quantum physics can unlock radically new ways of processing information - far beyond the limits of classical systems. Our research spans quantum computing, sensing
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electromagnetic design and simulations Awareness of diversity and equal opportunity issues, with specific focus on gender equality Collaborative abilities Independence Great emphasis will be placed on personal
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and separation processes, with strong expectations of high-impact publications and intellectual leadership. Who we are looking for The following requirements are mandatory: A doctoral degree or an
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for structural load-bearing capacity, deterioration processes, or life-cycle-based analysis of structures - Experience with Monte Carlo simulation, FORM/SORM, or similar methods - Ability to work with experimental
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, we offer a dynamic, collaborative ecosystem. The AI and Machine Learning in the Natural Sciences (AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians
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Why do some children and adolescents with scoliosis also develop psychiatric disorders? And do such conditions influence outcomes after scoliosis surgery? This postdoctoral scholarship is connected to a
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on our earlier work on community and ecosystem processes across elevational gradients in mountains (https://www.nature.com/articles/nature21027 ). Following from that work, and to better understand
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Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is an
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that work individually or in swarms (groups). The focus is on developing methods within control, sensor and communication systems, for such systems. The work involves both simulation and practical testing