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or more of the following areas: (1) Generative AI and machine learning, (2) affective computing, (3) human-computer interaction or collaborative AI, and (4) interaction design, experimental design or
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prototypes of a quantum computer and a quantum internet by integrating world-class research and groundbreaking innovation. Through excellence, relevance, and leadership, we cultivate a vibrant quantum
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economy. As a postdoctoral researcher, you will unravel how silicon suppresses liquid copper infiltration at the atomic scale, using density functional theory-accurate machine-learned potentials and
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postdoctoral researcher, you will lead the human-computer interaction side of the project. You will investigate how everyday athletes and coaches currently use tracking and feedback technologies, design and
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at the atomic scale, using density functional theory-accurate machine-learned potentials and molecular dynamics simulations, in close collaboration with leading European research institutes and steel industry
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route to produce high-quality recyclates, but current implementations rely on static process design and control that don’t account for feedstock variability, inefficient solvent use, and high energy
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subjective assessment. Design and implement machine learning algorithms for real-time prediction of occupant thermal comfort. Analyse physiological signals including skin temperature, skin conductance, heart
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and implement machine learning algorithms for real-time prediction of occupant thermal comfort. Analyse physiological signals including skin temperature, skin conductance, heart rate, and wearable
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/aerodynamics for an overview of current activities and relevant scientific publications. It is the intention of the Aerodynamics group to further explore experimental techniques for aerodynamics, flight
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theoretical challenges motivated by astrodynamics, optimisation, control, scientific machine learning, mission design and autonomous systems, translating these into new research directions in deep learning