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algorithms, and some knowledge of data science and machine learning (through coursework, self-learning, or personal projects). The selected student will work with Ph.D. and master's students to help develop
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. We are working
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modeling of novel radiopharmaceuticals, development of advanced image reconstruction algorithms for quantitative PET and PET/MR imaging and the development of deep learning methods to improve quantitative
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects and mentoring. Contribute to academic publications
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, Algorithms, and Data" team at L2IT. Application procedure: Interested candidates must send: 1. A cover letter presenting their research project and their interest in joining the group 2. A Curriculum Vitae 3
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, including BIM-based SLAM, traversability map analysis, and 3D LiDAR/vision sensor fusion. • Design few-shot learning algorithms for robust detection of temporary construction objects and obstacles
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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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research experience (which may include experience gained as an undergraduate); demonstrated interest in computer science, progress, computational performance, algorithmic improvement; proficiency with: MS
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
differential equations with mixed boundary conditions that often require specific integration schemes and root-finding algorithms to solve. This problem of computational cost makes it challenging 1) to analyse
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closely connected with quantum technologies and physical platforms. Relevant areas include but are not limited to: quantum information and computation; quantum algorithms and complexity; quantum error