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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
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event-based simulation and a variety of machine learning techniques. A strong curiosity and interest in current and future mobility challenges, especially those related to logistics. Excellent written and
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. To overcome this challenge, neural architecture search and other ideas within the general field of automated machine learning have been proposed. We seek one or more PhD students(employed as PhD fellow if you
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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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multiscale modelling techniques, machine learning methods, and self-driving laboratories to accelerate the discovery of novel materials for energy applications. The candidate will work in a highly
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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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, 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 - DTU Electro Kgs
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the PhD Alliance 2024 initiative at DTU, in collaboration with Cornell University, USA. The AMD section is a leading group in combining multiscale modelling techniques, machine learning methods, and self
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nature. The groups of the Section cover a wide variety of subjects ranging from personalized medicine where we, amongst others, predict the optimal treatment based on an individual’s genome, to machine