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PhD position to research novel fast controlled photonic integrated switches for low latency and highly scalable AI compute clusters. The electro-optical communications (ECO) group in the Faculty
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your programme of study: search for the ‘Course Title’ using the programme code: “8100F” select ‘PhD Chemistry (full time) - Chemistry' as the programme of study You will then need to provide
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and Quantum Many-Body Physics” group, led by Prof. Norbert Schuch. Our research lies at the interface of Quantum Information and Computation with the study of Complex Quantum Many-Body Systems
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well as metabolic, neurodegenerative, autoimmune, and infectious diseases. Job description PhD projects will combine catalyst engineering, computational simulation, bioelectrode device fabrication, and electrical
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diverse research network spanning AI, computer science, mathematics, engineering, physics, and the life sciences. What we offer A structured three-year PhD program at the interface of AI and biomedical
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outages can be reproduced realistically. Validate each model independently and integrate it into the UTOPYS transmission backbone as a higher-fidelity drop-in replacement, using its standard interfaces
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from PhD 1 will inform the measurement applications in PhD 2, while the validation needs from PhD 2 will guide sensor requirements and characterization. You will work at the interface of measurement
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at the interface of cognitive neuroscience, neurophysiology and data science. Profile: PhD in neuroscience, psychology, cognitive science, statistics, data science or a related field, with strong
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with expertise in genome-scale metabolic modelling, mathematical modelling and programming, and you are excited by interdisciplinary research at the interface of engineering biology and computational
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therefore work in a highly interdisciplinary environment spanning machine learning, speech and audio processing, computer vision, respiratory physiology and clinical medicine. You should have a PhD, or