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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 10 days ago
critical. A PhD in Electrical Engineering with a focus on either Integrated Circuit design or with a focus on printed physical electronic design, modeling, and characterization is necessary. An alternative
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The work proposed for this post PHD position involves studying and
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Information Science, Language and Speech Technology or a closely related field. You have extensive experience solving problems with AI, including explainable AI. You have a background in working with cultural heritage
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qualifications at PhD level. Prospective applicants for position should have the following qualifications: - PhD. degree in computer science, mathematics, electrical engineering, communications engineering
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3 Dec 2025 Job Information Organisation/Company CNRS Department Institut de Science des Matériaux de Mulhouse Research Field Engineering Chemistry Physics Researcher Profile First Stage Researcher
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For further information, please contact: Dr. Jorge Querol ( ) Your profile A PhD degree in Telecommunication Engineering, Electrical Engineering, Computer Science, or a closely related field, with a focus on
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field relevant to the position such programming languages, program verification, or software engineering, or a foreign degree equivalent to a PhD degree in Sweden. The degree needs to be obtained by
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global scale. That is why we invite you to apply. Your application will receive fair consideration. Challenge. Change. Impact! Faculty Electrical Engineering, Mathematics and Computer Science The Faculty
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-completed PhD (within the last 0-5 years) in Materials Science, Computational Materials Science, Chemical Engineering or a closely related field. Comprehensive understanding of applied computational materials
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would assist with you undertaking the role. Qualifications PhD, or equivalent professional experience, in Machine Learning, Statistics, Electrical Engineering, Computer Science, or a related field. Key