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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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areas: formal methods, machine learning. Additional knowledge and experience within the following areas are appreciated: formal verification, deep learning, dynamical systems, control theory. Excellent
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The project is carried out in a collaboration between Aalborg University and Siemens-Gamesa, and we are seeking a PhD candidate for a project focused on the development and application of machine
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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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for improving the computational prediction and modelling Teach and disseminate your knowledge Furthermore your key tasks as a PhD-student will also include: Carrying through an independent research project under
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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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functional safety, security, quantitative performance, and exploitation of modern machine learning technology. It is the overall hypothesis of S4OS that a full integration of model checking and synthesis with
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critically explore the governmental, technical, and ethical challenges that arise from these pressing developments. AIM focuses on generative AI and machine learning for mental health, with a particular
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critically explore the governmental, technical, and ethical challenges that arise from these pressing developments. AIM focuses on generative AI and machine learning for mental health, with a particular