57 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at Technical University of Munich in Germany
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Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We conduct experiments in the field to understand how
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Rahmen des Emmy Noether-Programms der DFG gefördert wird. Ziel des Projekts ist die Entwicklung digitaler Quantenalgorithmen zur Simulation nichtabelscher Gittereichtheorien. Wir suchen hochmotivierte
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data analytics frameworks (Hadoop, Spark, Flink, etc.) is desired - Interest in the development of software systems, very good knowledge and skills in programming with standard programming languages
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, and unmodeled dynamics remains a key challenge. This position focuses on developing and validating methods that jointly address safety, performance, and reliability of learning-based control and
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of Orthopaedics and Sports Orthopaedics and the Institute for AI and Informatics in Medicine. We work at the intersection of artificial intelligence, medical imaging, and clinical practice, developing methods
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the opportunity to develop and conduct independent research that aligns with the lab’s interests in active learning, information search, decision-making, and cognition from a developmental perspective. The
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professional development, including teaching, supervision, and leadership roles Competitive compensation in line Collective Agreement for the Civil Service of the Länder (TV-L). TUM strives to raise the
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systems in East Africa, and in the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We conduct
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complex multiphysics problems. The coupling is done across package boundaries. This also requires more sophisticated approaches in load-balancing. Finally, the newly developed algorithms will be tested and
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of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning