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is open to award (1) research grant within the R&D Project “REFINED - Refractory Engineering for Innovative and knowledge-based lining design”, with reference 16273, operation code COMPETE2030-FEDER
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. More information on degree recognition is available at: https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition 4. Work plan: The fellow will engage in research and development activities
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Healthtech excellence was acknowledged again, this time by the esteemed "CHIME Digital Health Most Wired " recognition program. Cedars-Sinai was assigned a Level 10-the most prestigious level of certification
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Healthtech excellence was acknowledged again, this time by the esteemed "CHIME Digital Health Most Wired " recognition program. Cedars-Sinai was assigned a Level 10-the most prestigious level of certification
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; Experience in supporting clinical trials; Experience in processing biological samples; Knowledge of clinical research protocol design; Proficiency in spoken and written English. 4. Work Plan: 4.1. The main
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research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data Analytics and Management; (iii) Computer Vision and Pattern Recognition; and (iv
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research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv
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to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among
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design governance for new development projects. Key Responsibilities Provide leadership and direction for electrical engineering design, operation, and maintenance activities. Maintain and develop
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for Higher Education (DGES, just in the case of automatic recognition). In this regard, it is suggested that the DGES portal be consulted at the following address: http://www.dges.gov.pt . Only