16 cognitive-radio Postdoctoral positions at Technical University of Munich in Germany
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, exploration, and reasoning across the lifespan, with a particular emphasis on ecological active learning—how learners interact dynamically with their environments to acquire knowledge and make decisions
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interoperable methodological framework for AI in gynecological oncology. We integrate symbolic knowledge representation (Ontologies/Knowledge Graphs) with Retrieval-Augmented Generation (RAG) and Large Language
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Mathematics (analysis, numerics, modeling) or in a comparable program with a strong mathematical focus and knowledge in, for example, functional analysis as well as the theory and numerics of PDEs. Strong
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research and knowledge transfer Independent, creative and committed way of working Ability to think conceptually and analytically Excellent English skills Ideally, good knowledge of German Our offer: We
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software. • Proficiency in English, both written and spoken. Knowledge of German is not required. In addition, the successful candidate will be highly motivated, with the ability to work both independently
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smart grid). While there has been tremendous progress in formal verification of cyber-physical systems, existing approaches still require expert knowledge. The main goal of this project is to develop
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Advanced software development and data analytics skills Hands-on mentality with first practical experience in developing innovative technology Inquisitive and passionate about research and knowledge transfer
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interdisciplinary team with energy modelers and public policy scholars Knowledge on Ukraine, its energy system or Ukrainian is a plus Experience in the financial sector or consulting is a plus Interest in nature
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requirements: • PhD diploma in related field • Excellent skills in statistical analysis • Very good knowledge of English; spoken German is a benefit • Excellent scientific and writing skills Who we are: You will
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computer science with very good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience