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and optimisation algorithms, focusing on their practical application in the context of the RaceEngineerAI project. Tasks include: - Developing models capable of simulating the behaviour of racing
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, aiming to explore and develop AI algorithms, frameworks, and hardware architectures for efficient edge deployment in vehicles, with a focus on neuromorphic computing. You will be part of the scientific TUM
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development of (open source) tools and algorithms for numerical simulations; o supervise PhD students conducting research in the field of this vacancy; o take responsibility for project coordination
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(“Autonomous System for Hybrid Hyperspectral-SAR Monitoring in Precision Agriculture”, Supervisor Prof. Hugo Hernández Figueroa, and “Development of Methodology and Robust Operational Algorithms for Hybrid
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unrestricted, and international travel assistance is available. Fellows work independently under the mentorship of the project director, Prof. Simon DeDeo, and a board of advisors in mathematics (Akshay
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. The project aims to address the challenges in pooling inference, by developing and implementing either exact or asymptotically exact Monte Carlo algorithms in collaboration with the Department
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The individual will perform multi-dimensional physiological and biomarker analyses collected from multiple datasets from
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Institution: Technical University of Munich (TUM), Germany – 12 months Industrial Partner: GIM Robotics, Finland – 24 months Supervisors: Prof. Achim Lilienthal (TUM), Dr. Jose Peralta (GIM Robotics) Target
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identification algorithms that directly interface with physical hardware. We work closely with industry partners, and our research has led to several methods now used in commercial products. We are part of
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logical choice for its staff and students. YOUR TASKS Job description The “AI for Energy” team (AI4E), led by prof. Chris Develder and prof. Bert Claessens at the Internet and Data Lab (IDLab) at Ghent