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or freely available machine learning software. These can be used by groups as diverse as citizen journalists, activists, social entrepreneurs and interest groups. The research in this project will lead to
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in IHS, and supporting the process of preparing Expressions of Interest and Proposals. Supporting efforts to expand funding for educational programmes (including short courses) and policy-relevant
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, our postdoc will work with the partners including public authorities in the identification of regulatory, governance, and legal barriers for V2G. The Post Doc will lead the Working Package on Governance
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ecological footprint of generative AI. The research should lead to theories, concepts and principles for design and activism in line with data feminism or feminist AI principles. Research Context
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. Address challenges posed by advanced workplace technologies. Foster innovation through evidence-based recommendations. Project impact SEISMEC aspires to lead European industries towards more people-focused