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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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on cutting edge machine learning methods? If you are establishing a career as a researcher in machine learning, and you are motivated to work with the latest methods for quantifying uncertainty in neural
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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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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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, 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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Description Do you believe that formal methods are crucial to ensure high quality in software systems? Do you want to establish your career as a computer scientist in this area? Do you want to educate new
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both Denmark and the European Union. Teach, guide, and supervise BSc and MSc student projects, as well as supervise PhD students. Design and develop novel course modules for both the BSc and MSc levels
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modelling in physical systems and life sciences. Focus on advanced techniques and methodological advancements with real-world impact. Requires PhD in machine learning, experience in deep generative models
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science. Candidates should have documented skills in atomic-scale simulations of catalysis or surface science, and should have an excellent track record of developing Bayesian statistics-based machine