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machine learning, and data science. By developing cutting-edge, data-driven solutions across diverse domains, AID plays a key role in shaping the future of AI.As part of this dynamic environment, the PhD
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. The consortium consists of world-class scientists with competences spanning chemistry, biochemistry, computer science, and machine learning. All fifteen doctoral candidates will work with two research groups, and
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models and machine learning and text analysis using natural language processing will be an integrated part of the project hence knowledge, skills, and interest in these areas will be an advantage. We
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Job Description PhD fellowship as part of research project “The Aesthetics of Bio-Machines and the Question of the Life” funded by the Velux Foundations Core Group Program. The Department of Culture
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Intelligence Quantized LLM Machine Learning for Embedded Hardware/Software architecture The candidate is expected to collaborate with industrial partners and other universities (national and international