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on a predictor X; candidates should understand how this function performs the analysis (e.g., estimates the effect size, assesses significance). Most likely, the applicants will have a BSC and/or PhD
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collaborative research culture within SDU’s Faculty of Engineering (TEK), promoting interdisciplinary innovation across electronics, materials science, and artificial intelligence. What we expect Applicants
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to scientific and non-scientific recipients. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its
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, materials science, and artificial intelligence. What we expect Applicants should hold a PhD in electronic engineering (the degree should have been completed within the last 5 years at most): Strong background
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Job Description We are seeking a highly motivated experimentalist to develop and implement innovative strategies for protein expression and screening, supporting the integration of artificial
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research project AI in the News Ecosystem: Navigating Trust and Authenticity (AINATA). The AINATA project explores how artificial intelligence (AI) impacts trust and authenticity in the news ecosystem. It
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to work at the intersection of physics, artificial intelligence, and research software engineering, and is eager to contribute to the team effort of developing a robust, transparent, and sustainable
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within this project will be to: closely collaborate with the DTU faculty members (Maria Montanucci and Peter Beelen) and the current PhD student of the team (Marie Frank vom Braucke) and the other Postdoc
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PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as Embedded AI, Edge AI, TinyML, and AIoT
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the sustainability of the built environment. Within this programme, the Centre leads the research field on Digitalisation and Automation, where robotics and artificial intelligence are applied to low-carbon and