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Field
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Technologies are focusing on the design and evaluation of innovative data-driven and Machine Learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient
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influencing factors and improve the accuracy, robustness and energy efficiency of intelligent sensing systems. Apply AI as an engineering tool: Use signal processing, statistical methods and machine learning
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, or machine learning is an advantage Analytical mindset and experience in algorithm development Enthusiasm for mobile robotics Excellent German or English language skills What we offer Cutting-edge technology
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and machine-learning methods for multi-objective optimization of efficiency, reproducibility, and operational stability Study intrinsic material stability, light-induced phase segregation, ion migration
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Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) | Leipzig, Sachsen | Germany | 2 months ago
representations to support cognition across domains. Under this umbrella, we explore: Spatial navigation, temporal, episodic, and working memory Learning, decision making, and knowledge acquisition Translational
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childcare allowances are provided. Learn more about Working at HITS. Eligibility and requirements Candidates must hold a doctoral degree or an equivalent academic qualification at the beginning of
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, 2026, the cluster is funded by the DFG as part of the Excellence Strategy of the German federal and state governments, with TUM serving as the administering university. The aim of BioSysteM to learn how
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is therefore essential to accelerate deployment, reduce costs through technological learning and enable the transition from first-of-a-kind (FOAK) to nth-of-a-kind (NOAK) systems. The objective
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environment. Excellent communication skills and a willingness to work in an international and interdisciplinary research team. Good command of German or a willingness to acquire German language skills within a
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Campus (LLEC). Development of physics-informed and graph-based machine learning methods for energy system monitoring, forecasting, and planning Data analysis considering uncertainties, missing data