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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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, 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 - DTU Electro Kgs
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physical simulations and machine learning techniques, you will investigate the ability of surrogate models to determine large wind farms’ efficiency and wake characteristics, as well as the wake model
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the PhD Alliance 2024 initiative at DTU, in collaboration with Cornell University, USA. The AMD section is a leading group in combining multiscale modelling techniques, machine learning methods, and self
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theory, graph transformation, algorithm engineering, machine learning. Proven competences in programming and ease with formal thinking are a necessity. The general goal of the TACsy project is to expand
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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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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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in machine learning research, and are you motivated to work on uncertainty quantification? DTU Compute invites applications for a 3-year PhD position. See More Jobs Page PhD scholarship in
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: marine mammal bioacoustics passive acoustic monitoring tools (PAMguard) bioacoustic machine learning including supervised and/or unsupervised classification, model training, and model assessment database
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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