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Skip to main content. Profile Sign Out View More Jobs PhD scholarship in Machine Learning Techniques for Spectral Shaping of Ultra-Broadband Optical Frequency Combs - DTU Electro Kgs. Lyngby
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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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working in DTU Electro, in the new Photonic Integrated Circuit based Systems (PICSys) group. PhD scholarship in Machine Learning Techniques for Spectral Shaping of Ultra-Broadband Optical Frequency Combs
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of surfaces in 3-space is an essential prerequisite. Knowledge of computational geometric algorithms, optimization, and machine learning techniques would be favourably regarded. Position 2: You will focus
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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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bright and motivated PhD students within subdiffraction cavities based on silicon bowties with the overarching goal of exploring new regimes of light-matter interaction. PhD scholarship in Machine Learning
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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
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and storage devices. We have a unique opening to expand our efforts in developing our self-driving laboratory (SDL) that combines robotics-based lab automation, machine learning, and high-throughput
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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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Jobs PhD scholarship in Machine Learning Techniques for Spectral Shaping of Ultra-Broadband Optical Frequency Combs - DTU Electro Kgs. Lyngby, Denmark Posted on 05/01/2024 DTU Electro invites