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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 3 months ago
according to the evaluation criteria listed below. 4.3 The Application Form must be fully completed, dated and signed, and its use is mandatory. It is available at: https://www.nms.unl.pt/pt-pt/faculdade
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programme Reference Number AE2025-0600 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0600
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Hawaiian or Pacific Islander. For more information about the University, visit: http://www.csun.edu About the College: The Andrew J. Anagnost College of Engineering and Computer Science seeks to be a
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funded by a EU programme Reference Number AE2025-0603 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais
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Posting Summary Logo Posting Number STA00967PO25 Job Family Operational Analysis Job Function Business Intelligence USC Market Title IT Technical Trainer Link to USC Market Title https
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science and engineering domains. Responsibilities will include: ● Design, develop, and deploy ML/DL algorithms for domain science and engineering fields ● Support RAD Collaboratory research on national
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involved in projects that handle big-data research, bundling genetics, multi-omics, biomarker, clinical, and histopathological data, to better understand Alzheimer’s disease and related dementias. Overall
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public trust in media. Platform Design, Policies, and Civic Engagement: Investigating how social media platforms’ algorithms, moderation policies, and content recommendation systems shape civic
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, genotypic, biological scale, phenotypic and population level data of several categories, structured, semi-structured and unstructured data. Non-structured data includes genetic, text, images, and “messy
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for maintaining information ecosystem health. AI Systems and Societal Impact in Diverse Domains: Research on bias, fairness, and demographic representation in AI/ML systems; algorithmic accountability; healthcare