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W3 or W2 with tenure track to W3 professorship in General Geophysics / W2 professorship in Geographi
(machine learning, artificial intelligence, data fusion). Applicants must have an excellent academic track record and be able to engage with both human geography and physical geography. Leadership skills and
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“DECIPHER-M: Deciphering Metastasis with Multimodal Artificial Intelligence Foundation Models”. This 5-year consortium is funded by the German Federal Ministry of Education and Research (BMBF) under “Major
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. In addition, the Medical Faculty would like to further develop the subject areas of prevention and artificial intelligence, causal methods and public health. Active participation in the ethics
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Future. Discover. Together. The AI department at HHI is committed to advancing the field of artificial intelligence through innovative research and development. Our team focuses on creating cutting
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automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable
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About us: The University of Technology Nuremberg (UTN), founded in 2021, is a living laboratory for the university of the future – ready for the age of artificial intelligence and constant
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, outstanding infrastructure and a high level of administrative support. The successful candidate will lead novel and innovative research in the broader field of Biological Artificial Intelligence. Areas
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on the analysis of observational and modelling data. This includes methods for analyzing different and in particular inhomogeneous data sets, also with the help of artificial intelligence (AI) methods, as
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to real-time data acquisition during production, consulting, and prototype manufacturing. The employees conduct research in many innovative topics, such as artificial intelligence, data-based quality
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modeling (FEM), and thermodynamic/kinetic simulations using tools such as Thermo-Calc and CALPHAD first experience in applying artificial intelligence and machine learning techniques to Materials Science