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networks, from a machine learning and information theory perspective. This basic research project has strong translational potential and aims to elucidate how immune function is altered during sepsis, with
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, you will interact widely with our collaborators – including as part of the Arthritis UK-funded ARCADIA network, to deliver this goal. The successful early career academic will have the opportunity
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potential impact across quantum networking, communications, and computing. Research Focus Design and fabricate superconducting devices that leverage the nonlinear kinetic inductance of thin superconducting
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be the opportunity to assist with a research cruise in Antarctica. Job requirements PhD in oceanography, cryospheric science, climate science, or atmospheric science. Experience with Large Eddy
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. Work collaboratively with project investigators, research colleagues, technical staff and international partners, developing networks and opportunities for future collaboration. Contribute
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startup company in the Netherlands. Job requirements We are looking for an outstanding candidate with a PhD degree in Nuclear materials Chemistry, Materials Science, Applied Science or a related field
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transitions of information flow networks, near critical events. The successful candidate will: Develop and apply Transfer Entropy estimators to high-frequency financial time series. Characterise the temporal
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
discovery, machine learning, and data science. The position will provide the opportunity to develop applied research skills in machine learning, interact with an international network of collaborators, and
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cities and databases. Mandatory requirements: PhD in engineering, data science and computing, mathematics, or statistics; experience in engineering, data science and computing, mathematics, or statistics
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infrastructure, networks, travel behaviour, mobility, and accessibility. Develop a publicly accessible WebGIS platform for exploring evidence by geography, hazard, infrastructure, population, and adaptation