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to one of the following areas: lattice geometry, Diophantine approximation, algorithms in algebraic number theory, real and complex hyperbolic geometry and applications to singularity theory. You should
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harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
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This project focuses on developing algorithms capable of automatically identifying and categorizing mobile ringtones. This involves leveraging machine learning techniques to analyze audio signals
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. This position is to be filled at the Institute of Climate and Energy Systems - Energy Systems Engineering (ICE-1), where we develop models and algorithms for the simulation and optimization of future energy
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teams including the Theory and Simulations team, the Neutral Atoms team, the Spin qubit team, the Intra- and Inter-connects team and leads within the Applications and Algorithms team. Qualifications We
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
to bandit algorithms when the performance criterion is not the expected outcome but some risk averse measure such as CVaR or entropic risk. The objective is to propose and analyze new risk-aware bandit
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Lehrstuhl für Angewandte und Computergestützte Mathematik | Aachen, Nordrhein Westfalen | Germany | 4 days ago
focussed on the development of novel algorithms within the Direct Simulation Monte Carlo Method (DSMC) to improve aforementioned simulations. These algorithms include particle-particle and particle-surface
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 23 days ago
novel algorithms for visual data analysis, · work with real/synthetic datasets and design data processing pipelines, · integrate the developed algorithms into a comprehensive, functional software
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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science or systems engineering. Knowledge of AI/ML algorithms, particularly graph neural networks and reinforcement learning, is highly advantageous. A keen interest in distributed computing, IoT architecture, and