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Skip to main content. Profile Sign Out View More Jobs PhD scholarship in Machine Learning in IoT Edge Devices – DTU Electro Kgs. Lyngby, Denmark Job Description We invite applications for a PhD
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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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with relevant data collected at industrial scale Apply AI / machine learning to support on-line deployment of the mathematical model for real-time prediction Using the model, investigate and prioritize
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Skip to main content. Profile Sign Out View More Jobs PhD scholarship – Development of flexibility service in EV-dominated power systems using AI tools - DTU Wind Roskilde, Denmark Job Description
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of specific 2D functionalization strategies, we have a broad and flexible focus when it comes to the employed methodologies (empirical models, DFT, many-body perturbation theory, machine-learning) the target
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assessments. The exceptional availability of Danish Big Dataset on health outcomes, consumption and sustainability. A unique combination of mass balance-based Source-to-Impact Models and Machine Learning
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Dynamics (AIMD), and Machine Learning (ML) tools to develop theoretical electrocatalytic frameworks. Hereby, the project will challenge existing research on catalysis, move the boundary of fundamental
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Skip to main content. Profile Sign Out View More Jobs PhD scholarship in Single Cell Bioinformatics – DTU Health Tech Kgs. Lyngby, Denmark Be the First to Apply Job Description Are you interested in
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microscopy and automated data analysis via machine learning we aim at creating structure-functionality correlations for tailored materials. In collaboration with theoreticians, we aim at extracting data from
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with researchers from machine learning and fire safety and material science in a truly interdisciplinary environment. Co-author scientific papers aimed at high-impact journals. Participate in