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PhD Stipend in Intelligent Industrial Energy Systems, Physics-informed AI, digital twins and advanced control Apply Vacant position PhD Stipend in Intelligent Industrial Energy Systems, Physics
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, Intelligent Manufacturing Systems, Personalised Health Technology, Resilience Engineering, and Sustainable Production, Energy and Resources. We work on education and research in mechanical engineering, civil
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: Asset & Maintenance engineering, Intelligent Manufacturing Systems, Personalised Health Technology, Resilience Engineering, and Sustainable Production, Energy and Resources. We work on education and
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role As an RDS at the Ubiquitous and Intelligent Systems (UBIX) Research Group, you will assist a senior researcher in developing prototypes and conducting experiments in collaboration with Luxbotix
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 12 hours ago
. We offer a highly interactive introductory program in a supportive peer-group environment supervision by a top scientist and support of the AITHYRA Faculty a PhD degree awarded by the Medical
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | 4 days ago
to map biological systems or identify novel therapeutics? Do you want to join an international group of highly collaborative, interdisciplinary, and successful colleagues that help you achieve your
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statistics group is on the development of statistical methodology for new data applications and the theoretical analysis of machine learning methods. A list of members of the statistics group can be found
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the department The research group Integrated Devices and Systems conducts research into semiconductor-based electronic components, most prominently sensors, integrated circuits and solar cells. The
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combining technical and social sciences in our five profiling themes: Improving healthcare by personalized technologies; Creating intelligent manufacturing systems; Shaping our world with smart
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four-year PhD position in the Radio Systems group to develop distributed sensing and digital signal-processing methods for identifying and characterising electromagnetic interference and high