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- 
                Field
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                at the intersection of AI, NLP, and industrial applications. Contribute to the development of scalable and interpretable AI tools for real-world deployment. Qualifications: A PhD in Computer Science, Machine Learning 
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                Minimum education and/or experience required: PhD obtained less than 3 years before date of hire in Computer Science, in one of the following areas: Data Science, Artificial Intelligence, or related field 
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                artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer 
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                recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs 
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                Deadline 26 Nov 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff 
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                . The aim of the Norms & Practices Lab of the Cluster of Excellence is to investigate from an interdisciplinary perspective how the advent of transformative machine learning and artificial intelligence 
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                ) a PhD in a quantitative discipline such as computer science, mathematics, statistics, engineering, or a related field. Strong programming skills and experience in machine learning or statistical 
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                to the development of the research milieu. Requirements PhD degree in a field closely related to the position (e.g., computerized image analysis/processing, machine learning, artificial intelligence, data science 
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                & Experience (specific to the project): PhD in Computer Science, Cybersecurity, Artificial Intelligence, or a related discipline. Strong research background in virtualisation, cybersecurity, AI or threat 
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                think outside the box, to learn fast, collaborate effectively, iterate quickly, and work at the interface of both experimental and computational design. Qualifications for Computer Scientists, AI/ML: PhD