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pattern of HED students with generative AI to launch upskilled talents in the creative economy", reference 2025-1-CY01-KA220-HED-000351980, funded by ERASMUS+, under the following conditions: Scientific
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, integration, and real-world environment phases. v) Writing technical reports and scientific publications. 4. Objectives: Study, design, and development of a computer platform for the management and control of a
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of automatic recognition). Candidates should consult the DGES portal for more information at https://www.dges.gov.pt/en . All requests for automatic or level recognition made to the University of Coimbra (UC
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Role: Campaign Manager Grade and Salary: Grade 7, £37,694 - £47,389 per annum FTE and working pattern: 1FTE, 35hrs per week, Monday – Friday Contract: Fixed Term, 5 years Holiday Entitlement: 33
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: https://www.uni.lu/en/admissions/diploma-recognition/ https://guichet.public.lu/fr/citoyens/enseignement-formation/etudes-superieures/reconnaissance-diplomes.html Where to apply Website https
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colleges, including Parsons School of Design, The New School for Social Research, Eugene Lang college of Liberal Arts, Parsons Paris, and the College of the Performing Arts. Our progressive
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 1 day ago
is open for national candidates, foreigners and stateless persons who hold the degree of “Doutor” or hold the recognition of that degree under the terms of the Decree-Law n.o 66/2018, of August 16
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the status of public interest institution is looking for two (2) experienced engineers with hands-on experience in design and fabrication of thin film magnetic sensors. This opening of position corresponds
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Number: 6833537 Assistant/Associate Professor in the Arts and Unconventional Computing About the Opportunity About the Opportunity The College of Arts, Media and Design (CAMD) at Northeastern University
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical