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Infrastructures Didactics of Informatics Digital Humanities Distributed Systems High-Performance Storage Machine Learning Medical Informatics Neural Data Science Practical Informatics Scientific Information
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streaming and batch processing. These efforts provide the foundation for advanced analytics, machine learning, and AI applications. The IDE Research School guides PhD researchers by offering a platform for
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, medical informatics, databases, data mining, machine learning, applied mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners
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profile: • Very good degree (Master or Diploma) in aerospace engineering, mechanical engineering, computer science or a comparable field. • Experience in machine elements, structural analysis, fault
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 23 hours ago
Transformation Processes. The programme is affiliated to the Faculty of Architecture, Civil Engineering and Urban Planning. Doctoral students conduct individual research in the fields of heritage conservation and
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 23 hours ago
researchers. The doctoral research topic, which is assigned to one of the chairs offered , also allows doctoral students to contribute their own institutional experience. A structured and international learning
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oceanography), chemistry, ecology, mathematics, computer science, engineering, economics, or political science Since the programme focuses strongly on numerical simulations, candidates with computer literacy
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professionals in industry, government, and academia. Globally, geospatial technology is often mentioned as a high-growth industry sector. Career chances for graduates with GI-related skills can therefore be
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of the brain requires the collaborative efforts of neurobiologists, neuropsychologists, cognitive scientists, medical researchers, computer scientists, mathematicians, physicists and engineers. Computational
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for improved understanding of structural and kinetic processes in electrolytes; and machine learning concepts for improved analysis of experimental and simulated data. Material Synthesis Within this research