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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 3 months ago
(spoken and written). Qualifications • PhD in Chemistry, Chemical Engineering, or Biomedical Engineering (completed). Research Outcomes • At least 5 peer-reviewed publications in biomedical wearable sensors
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for the benefit of society. Our Mission - TTI delivers practical, innovative and sustainable solutions to improve the movement of people, data and goods through research, education and technology transfer. Our
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the laboratory is to understand the pathophysiology of movement disorders such as Parkinson’s disease. At Stanford, innovations in neural interface technology have allowed us to discover how abnormal electrical
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projects with tangible outputs; programming skills; operation and planning of electric power distribution networks; and database management. Recently graduated PhD holders are preferred. Application Process
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comments Mentor: Jan Mikeš, Faculty of Electrical Engineering, Mikes.jan@fel.cvut.cz , https://leee.fel.cvut.cz/AboutUs.html#content5-v https://leee.fel.cvut.cz/Projects.html#content8-17 ORCID 0000-0003-2219
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negotiable. Additional comments Mentor: Daniel Novak, Faculty aof Electrical Engineering, Cybernetics, xnovakd1@fel.cvut.cz cz.linkedin.com/in/novakdaniel https://scholar.google.com/citations?hl=en&user
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Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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26 Feb 2026 Job Information Organisation/Company ELETTRA - SINCROTRONE TRIESTE S.C.P.A. Department HR Research Field Computer science » Cybernetics Engineering » Electronic engineering Researcher
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suppliers where required. Support the wider research activities of the group. Education, Qualifications and Experience Essential Criteria PhD (or near completion) in Photonics, Physics, Electrical Engineering
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participate in cross-disciplinary research and development projects related to learning engineering and AI in education, working with a team of postdoctoral researchers, PhD students, and Master’s/undergraduate