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. The candidate’s main working place will be at DTU Hearing Systems (Lyngby, Copenhagen, Denmark). This research is based in Prof. Torsten Dau’s group at the Technical University of Denmark (DTU), part of
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organization of large datasets. Experience in machine learning with limited data is preferred. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical
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Research Centre (Snekkersten, Denmark). The Hearing Systems Section at the Technical University of Denmark (DTU) is part of the department of Health Technology. Our research is concerned with auditory signal
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with researchers from machine learning and fire safety and material science in a truly interdisciplinary environment. Co-author scientific papers aimed at high-impact journals. Participate in
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state-of-the-art digital technologies such as machine learning Ability to work with other researchers, engineers, and technicians You must be responsible for the teaching of courses. DTU employs two
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. The transport policy section at the Department of Management at the Technical University of Denmark (DTU) is seeking a candidate for a two-year postdoc position starting on September 1, 2024, to work
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Excellent communication skills and fluent in English, oral and written Familiarity with analysis of metagenomic data and machine learning techniques is a plus but not essential. Experience with data
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Skip to main content. Profile Sign Out View More Jobs PhD scholarship in Machine Learning in IoT Edge Devices – DTU Electro Kgs. Lyngby, Denmark Job Description We invite applications for a PhD
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, and implementing new analytical and machine learning tools that will help to interpret complex multimodal data, and you will do it in collaboration with top research scientist in the field and in
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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