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Neckarsulm, aiming to explore and develop AI algorithms, frameworks, and hardware architectures for efficient edge deployment in vehicles, with a focus on neuromorphic computing. @Fakultät@-Plakat-A4-hoch
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and Objectives Industry Objectives: Develop methods and algorithms for robust real-time 3D situational awareness and semantic 3D environmental segmentation. Create algorithms and representations
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To boldy go where no man has gone before. Job description The PostDoc position is part of research of prof. Bernd Rieger and prof. Sjoerd Stallinga, in which we target (super-resolution) microscopy
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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
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implement novel AI models and algorithms Contribute to the planning and execution of research experiments with human participants Manage and analyse large, complex datasets Develop software and prototype real
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Disse), the Chair of Geoinformatics (Prof. Thomas H. Kolbe), and the Chair of Algorithmic Machine Learning & Explainable AI (Prof. Stefan Bauer). The project aims to develop an integrated urban flood
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• Develop, consolidate, and optimize fMRI and EEG neurofeedback algorithms. • Design, integrate, and test standalone neurofeedback software (software suites for clinical environments). • Contribute
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Worldwide Prof Tom Hayward, Dr Matthew Ellis Application Deadline: 15 January 2026 Details A fully funded PhD opportunity to participate in the world-leading research undertaken by the EPSRC Doctoral
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of randomised algorithms. Candidates who are close to completing their doctoral degree will be considered. The post holder will have the opportunity to contribute to the development of the research agenda, as
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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