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reinforcement learning methods can be used to solve multiobjective discrete and combinatorial optimization problems. The goal is to develop new algorithmic approaches that combine ideas from machine learning
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intelligence (AI) has the potential to substantially improve medical care, from early diagnosis to treatment planning and follow-up. Despite rapid technical advances, many AI algorithms in healthcare do not yet
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available in the further tabs (e.g. “Application requirements”). Programme Description The research and training programme focusses on the mathematical and algorithmic foundations of reliable AI along with
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
ongoing research efforts in the development of statistical 3D models of Horses. About us We are creating the world’s most realistic human and animal avatars for use in research, film, virtual reality
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Hands-on experience with machine learning algorithms and developing/testing complex software systems Basic understanding of hardware/embedded software development Additional Requirements (MSCA Eligibility
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silico approaches. This may include mathematical modeling of biological systems, machine learning and artificial intelligence methods, and the development of innovative algorithms and software pipelines
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
: Large-Space Gaze Analysis via Multi-camera System for Social Interactions” to develop datasets and algorithms to capture and analyze eye gaze. About the project We are supporting the development of highly
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advanced mathematical algorithms and AI frameworks for modeling and optimizing power electronic components and systems. To support our team, we are looking for a working student (all genders) in the field
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-oriented research in the field of photonics. We develop innovative light-based technologies and create state-of-the-art optical components and systems along the entire process chain - from design and
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implement machine learning algorithms to model and analyze dynamic phenomena in milling processes Explore and apply Physics-Informed / Physics-Guided Machine Learning approaches Design and develop cloud-based