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-mechanical properties. Alternatively, cell concepts based on metallic support structures exhibit excellent mechanical strength but require fundamentally different manufacturing processes. The most common
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expertise in artificial intelligence, computer vision, human-computer interaction, and psychology. Its technical core lies in developing robust and adaptive visual speech recognition models. Close
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removal of persistent PFAS (“forever chemicals”) from treated wastewater effluent and the recovery of excess phosphorus. PFAS are not effectively removed by conventional treatment processes and pose a
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d'Azur. The team is composed of computer scientists but has a strong interdisciplinary focus, particularly in linguistics, philosophy, sociology, and law. MARIANNE proposes innovative methods for natural
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electronics from material and process to a finished, verified component. We work in close cooperation with companies such as Bosch, Ericsson, Volvo, Infineon, Boliden, LKAB and SKF, with leading international
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to selected candidates from the end of April at the earliest. A later timeline may apply depending on the completion of the evaluation and selection process by the Principal Investigator (PI). For application
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will find more information about working at NTNU and the application process here. About the position We have a vacant 100% PhD position in the MRI Physics Group at the Department of Physics, NTNU
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, but also encounter AI-mediated contributions from colleagues. Messages may be written, filtered or delivered with AI, while autonomous agents increasingly participate in work processes and collaboration
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Start of the program: September 2027 For more details on the program, participating fellows, and the application process, please visit the BMAI website and apply online !
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for the processing, analysis and interpretation of large volumes of scientific data, as well as to the integration of artificial intelligence-based tools into highly technologically complex research environments