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, entrepreneurship and/or other activities supporting the applicant’s career development. Who we are looking for Requirements Doctoral degree in bioinformatics, biomedical engineering, computer science, image/signal
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. The Cancer Research UK-Scotland Institute has access to instrumentation in the Scottish Centre for Macromolecular Imaging (SCMI) https://www.gla.ac.uk/research/az/cvr/facilities/scmi/, such as the JEOL CRYO
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student will gain experience across different disciplines including engineering, and neuro-computation. We require applicants to have either an undergraduate honours degree (1st) or MSc (Merit
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for information-driven experiment steering (closed-loop control) Work in an interdisciplinary team of engineers, computer scientists, and life scientists Present your work at international conferences and learn
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information science, microwave quantum optics, and mechanical quantum devices. We are also part of the Wallenberg Centre for Quantum Technology (WACQT) , a 12-year initiative to advance Swedish academia and industry
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, Mechanical Engineering, Computer Engineering or a closely related subject Experience in conducting academic research or providing research assistance in the field of RF/microwave engineering or printed
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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30 Jan 2026 Job Information Organisation/Company Ghent University Research Field Computer science » Programming Computer science » Other Engineering » Other Mathematics » Algebra Mathematics
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programme Electrical and Electronic Engineering; as per August 1st, 2026, or as soon as possible thereafter. In electronic engineering, Aalborg University is known worldwide for its high academic quality and
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and engineers. Key Responsibilities 1. AI Model Development & Testing Assist in developing machine learning and deep learning models for medical imaging analysis. Implement and fine-tune models using