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for Interdisciplinary Digital Sciences (CIDS), the Department for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden) offers a full-time position as Research Associate / PhD Student / PostDoc (m/f/x
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Intelligence in Culture and Society The professorship will be responsible for the strategic development of the research interest area Human Centred Artificial Intelligence at the University of Greifswald
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) at the German academic salary scale W3. We are looking for a highly motivated and promising researcher in the area of Ethics of Artificial Intelligence with extensive knowledge in the fields of practical
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). The successful candidate will be part of an active and interdisciplinary team of physicists and mathematicians, working at the interface of soft matter, robotics, statistical physics, and artificial intelligence
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Artificial Intelligence. Alongside their duties as a university professor, they will be expected to work closely with DFKI to establish a new research group and to secure significant external funding in
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analytical technologies, data science, biomedicine, and artificial intelligence (AI). Supported by state-of-the-art facilities in mass spectrometry, biomedical research, and high-performance computing
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in this position will perform technical work that underpins the scientific research of the collaboration. Research Title: Artificial Intelligence Data Researcher The work will entail: The applicant
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. The department’s modern and interdisciplinary character stems from our research areas, which bridge philosophy, mathematics, physics, artificial intelligence, formal ontology, argumentation theory, and ethos theory
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more than 20 countries. We perform basic and applied research within plants, livestock and human quantitative genetics. Our focus areas include quantitative genetics, breeding plans, artificial intelligence
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and Master levels (e.g., in the Artificial Intelligence and Informatics programs); Actively contribute to the vibrant AI4Science ecosystem in Amsterdam, championing verifiable and responsible AI