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About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling, architectural history, technology, or project case studies
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-class or 2:1 MEng or and MSc with merit (over 60%) in a relevant area i.e. Chemical Engineering, Process Engineering, Chemistry, Materials Science, Geoscience etc. Candidates for socio-politico-economic
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education and award of a PhD degree in physics, chemistry, materials engineering, or a related discipline; very good command of English, both spoken and written, enabling active participation in international
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possess a PhD degree in physics or related field and demonstrate a strong track record of research in quantum science and technology. Appointments at the rank of Associate Professor level or above will
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: Applicants should hold a Master's degree (or equivalent) in solid mechanics, materials science, civil engineering, applied physics, or a related field. Required skills: - Strong background in continuum
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should apply if you have: a PhD in Engineering Biology or a closely related discipline (e.g. Engineering, Physics, Computer Science, Mathematics, Biochemistry or similar). Significant experience
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Institut de Recherche en Génie Civil et Mécanique (GeM) | Saint Nazaire, Pays de la Loire | France | 9 days ago
plateformes expérimentales de pointe. Les candidatures doivent être déposées sur la plateforme Amethis (https://amethis.doctorat.org ). This PhD thesis lies at the interface between materials mechanics
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computing, and to pursue new strategic research initiatives under the Department/Faculty/University. Requirements: Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information
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services. Collaboration with other faculty members in research and teaching is also expected. Requirements: The candidates should have a PhD degree in Physics, Microelectronics, Advanced Materials or other
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engineering applications at the BEng, BSc, MSc, and PhD levels. In addition, there will be an obligation in continuous education on advanced machine learning methods and AI. The Section for Cognitive Systems