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, preferably including Python and modern machine learning tools. Basic knowledge of deep learning, signal processing, speech/audio processing, or statistical machine learning. Interest in working
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modern machine learning tools. Basic knowledge of deep learning, signal processing, speech/audio processing, or statistical machine learning. Interest in working with speech and audio datasets, detector
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events and the climate. The doctoral researcher will be working on the AI-Dream project. They will have to develop criteria and evaluation suites to test the “physical” accuracy of deep Machine Learning
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data processing Experience in scientific writing and academic publishing Programming skills and experience with MATLAB, Python, or similar tools Familiarity with machine learning and deep learning
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physics-informed deep learning approaches to torque estimation Studying the torque estimation framework first with simulated measurements and scenarios, then verifying it against measurements from
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. A strong background in energy-system modelling, mathematical optimization, machine learning, reinforcement learning, or data-driven decision-making is appreciated. Experience with programming and
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Fire Dynamics Simulator CFD code Experimental validation of simulations Machine learning for accelerated evaluation of radiative properties The doctoral degree will be awarded upon successful