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Skip to main content. Profile Sign Out View More Jobs Postdoc in Computer Vision with Deep Learning for Material and Computational Design – DTU Compute Kgs. Lyngby, Denmark Job Description Do you
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Skip to main content. Profile Sign Out View More Jobs PhD scholarship in Raman Spectroscopy and Multi-Modal Machine Learning Models - DTU Compute Kgs. Lyngby, Denmark Job Description If you are
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Skip to main content. Profile Sign Out View More Jobs PhD scholarships (3) in Machine Learning Metamodeling Architectures for Scientific Simulation – DTU Management Kgs. Lyngby, Denmark Job
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Skip to main content. Profile Sign Out View More Jobs PhD scholarship in Machine Learning for Real-Time Radiation Measurements - DTU Compute Kgs. Lyngby, Denmark Job Description Do you want to use
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Skip to main content. Profile Sign Out View More Jobs PhD Scholarship in Data-driven Optimization and Machine Learning for Operation and Planning of Power-to-X Hybrid Power Plants - DTU Wind Kgs
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on cutting edge machine learning methods? If you are establishing a career as a researcher in machine learning, and you are motivated to work with the latest methods for quantifying uncertainty in neural
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-aware machine learning to enhance the computational efficiency of simulations critical for understanding natural phenomena and advancing technologies for environmental sustainability. To allow larger and
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for Power and Energy Systems (PES). The EMA Section has a strong multi-disciplinary research focus on energy markets, optimization, game theory, and machine learning. We are currently 14 members in the EMA
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for modeling and prediction. Our research is based on statistical machine learning and signal processing, on quantitative analysis of digital media and text, on mobility and complex networks, and on cognitive
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understanding based on differential geometry. In particular, deep neural networks perform surprisingly well on new unseen data, which is known as generalization. However, previous machine learning theory cannot