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Field
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industries. Overarching top topics at Fraunhofer ITWM are Machine Learning as well as Artificial Intelligence and Renewable Energies or Sustainability. In addition, next generation computing and quantum
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: The successful applicant must have the following: • PhD degree in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing, or related fields • Experience in
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available in the further tabs (e.g. “Application requirements”). Objective The general aim of the programme is to train young academics and scientists through funding of PhD degree studies in Germany. Who can
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engineering, the automotive industry and related sectors. The focus is on intelligent products, production systems, services and software applications. What you will do Given the barriers to traditional
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teams Mission intelligence for autonomous decision-making Fusion, modeling, and construction of complex sensor systems Automatic calibration and synchronization of sensors Generation of unique multimodal
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Brain Research German Center for Neurodegenerative Diseases Werner Reichardt Centre for Integrative Neuroscience Teaching language English Languages English Full-time / part-time full-time Programme
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efficient algorithms and machine learning/artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems • Further
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. The position is part of the research group Quality.2 (Phytonutrient Management) in the programme area ‘Plant Quality and Food Security’ (QUALITY). The aim of the research project ‘GluAmin’ is therefore
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School of Engineering and Design and maintain strong links with the computer science community. One of our key research areas is the design and operation of intelligent networked production systems
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Course location Stuttgart Description/content The Graduate School of SimTech offers an interdisciplinary structure and international training programme in order to prepare the candidates with