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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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of the art machine learning. You will work and collaborate with researchers at DTU Biosustain and other DTU departments, as well as national and international academic and industrial partners towards
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literature Knowledge and hands-on experience with machine learning What we offer in return We offer you a varied job with personal challenge, where you greatly help to create a framework enabling isoform
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independently but supervised by members of the research team. Our expectations of you We seek a candidate with excellent skills using, adapting and analyzing state-of-the-art machine learning models. We seek a
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of, and an interest in, geometry of surfaces in 3-space is an essential prerequisite. Knowledge of computational geometric algorithms, optimization, and machine learning techniques would be favourably
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), Experience or motivation for applying statistical and machine learning methods to strain design challenges, We offer DTU is a leading technical university globally recognized for the excellence of its research
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and machine learning in our constantly changing and developing data environment. As our group provides data for many different end-users and projects the work can be very diverse with routine tasks as
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bright and motivated PhD students within subdiffraction cavities based on silicon bowties with the overarching goal of exploring new regimes of light-matter interaction. PhD scholarship in Machine Learning
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and storage devices. We have a unique opening to expand our efforts in developing our self-driving laboratory (SDL) that combines robotics-based lab automation, machine learning, and high-throughput
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Jobs PhD scholarship in Machine Learning Techniques for Spectral Shaping of Ultra-Broadband Optical Frequency Combs - DTU Electro Kgs. Lyngby, Denmark Posted on 05/01/2024 DTU Electro invites