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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
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-quality and high-impact research and for creating research networks supporting their careers. We welcome applications across all areas in Computer Science, including Algorithms and theory Bioinformatics and
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Engineering, awarded by the Faculty of Engineering and Architecture at Ghent University in Belgium. Further information about this doctoral degree can be found at https://www.ugent.be/ea/en/for-phd-candidates
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Engineering or related fields. RECIPIENT CATEGORY: Degree courses: Students enrolled in a PhD. Non-conferring degrees courses: Masters enrolled in non-academic degree courses. CANDIDATES PROFILE / CANDIDATE
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position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer science We invite applications from talented and highly motivated candidates to pursue a PhD
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. This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design, and
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skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8
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to carry out such background checks or security interviews. Additional comments We encourage early career (post PhD), mid-career and senior researchers to apply. Website for additional job details https
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Doctoral student in development of nanowire devices for photonic neuromorphic computing (PA2026/472)
) is the Centre for Nanoscience at Lund University. NanoLund is today Sweden’s largest research environment for nanoscience, engaging more than 400 PhD students and scientists in the Faculties
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transport models known as MILES and MATRA, with the deployment of these algorithms allowing the team to model future green infrastructure, testing different decarbonisation solutions and analysing the effect