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Skip to main content. Profile Sign Out View More Jobs Postdoc in Computer Vision with Deep Learning for Material and Computational Design – DTU Compute Kgs. Lyngby, Denmark Job Description Do you
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-aware machine learning to enhance the computational efficiency of simulations critical for understanding natural phenomena and advancing technologies for environmental sustainability. To allow larger and
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for modeling and prediction. Our research is based on statistical machine learning and signal processing, on quantitative analysis of digital media and text, on mobility and complex networks, and on cognitive
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documenting their requirements Solid experience with full machine learning pipelines including feature design and selection, classification and validation. Experience in analysing neurophysiological data
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, and machine learning to improve protein function. Interest in entrepreneurship to make a positive impact on planetary and human health. We offer DTU is a leading technical university globally recognized
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these signals offer for modeling and prediction. Our research is based on statistical machine learning and signal processing, on quantitative analysis of digital media and text, on mobility and complex networks
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leveraging AI to develop a new generation of Machine Learning (ML)-based approximators to simulators. Your role, starting on July 1, 2024, will center on setting up, calibrating and analysing the pre-existing
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. Make AI explanations more understandable Machine learning algorithms often appear complex black boxes and much research has already gone into visualizing the hidden representations learned from data
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programming skills in scientific languages such as Python, MATLAB, or C, with a demonstrated ability to apply these skills to develop machine learning and/or AI models and conduct analyses relevant to wind
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. The activities are linked to other ongoing projects in the Section working on clean energy materials and machine learning for accelerated materials discovery. Qualifications Candidates should hold a PhD or