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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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researchers who obtained their doctoral degree within the last three years and have acquired at least one year of research experience outside Europe, either during or after their PhD. The position offers
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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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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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recently granted, and it will also involves a collaboration with Thorizon, a MSR startup company in the Netherlands. Job requirements We are looking for an outstanding candidate with a PhD degree in Nuclear
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development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages
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participate in studies that: • Investigate the microRNA regulatory network and other transformation-associated pathways. • Determine how tumor-derived extracellular vesicles regulate T-cell function and immune
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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
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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