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, reachability approaches or Bayesian filtering and develop a robust prediction algorithm. These dynamic predictions must then be integrated into a map representation to be included and used in the path planning
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develop advanced models, algorithms, and control solutions for simulating, optimizing, and operating future integrated energy systems. We address the challenges arising from the increasing integration
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involving Prof. Dr. Michael Bader (TUM CIT, Hardware-aware algorithms for HPC) , Prof. Dr. Felix Dietrich (TUM CIT, Physics-enhanced Machine Learning) , and Prof. Dr. Hartwig Anzt (TUM CIT, Computational
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 30 days ago
computer vision algorithms into the NICE Toolbox. Assist with testing, evaluation, and optimization of implemented computer vision methods. Provide basic user support for researchers using the NICE Toolbox
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Good to very good grades First experiences with algorithm development preferably using Python or MATLAB Basic understanding of Quantum Optics and Interferometry Interest to learn about Fourier optics and
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Max Planck Institute for Intelligent Systems, Stuttgart, Stuttgart | Stuttgart, Baden W rttemberg | Germany | 30 days ago
tasks include: implementing computational mechanics algorithms in Python and C++, translating existing research codes and numerical methods into a modern collaborative software framework, developing
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EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites | Darmstadt, Hessen | Germany | about 2 months ago
. Responsibilities include the development and maintenance of scientific software tools, primarily in Python, for performance monitoring, anomaly investigation, and algorithm evolution. The role requires the ability
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together with an IT-expert for the application of machine learning (ML) algorithms for the automated analysis of the recorded mass spectra. Requirements: - Master's degree in Planetary Sciences, Physics
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part of change Driving innovative AI research through the development and implementation, practical application, theoretical analysis and evaluation of AI and explainability algorithms Implementation
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. We develop novel optimization methods, Machine Learning algorithms, and prototypical Energy Management systems (EMS) controlling complex energy systems like buildings, electricity distribution grids