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Compute – Department of Mathematics and Computer Science – is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies
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for the position. DTU Compute DTU Compute – Department of Mathematics and Computer Science – is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover
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. Qualifications You should have completed a two-year master's degree (120 ECTS points) in Civil, Architectural, Environmental, Electrical, Mechanical or Industrial Engineering, Autonomous Systems, Computer Science
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interest in pursuing a research career About us: The Dynamical Systems section is part of the Department of Applied Mathematics and Computer Science at the Technical University of Denmark. We strive to be a
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it as a PDF in the application. Qualifications and specific competences: Applicants to the PhD position must have a relevant Master’s degree in the area of Computer Engineering, Computer Science
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At the Faculty of Engineering and Science, Department of Materials and Production a position as PhD stipend in Machine Learning Assisted Terahertz Spectroscopy, within the doctoral programme Materials Science, Mechanical and Manufacturing Engineering, is open for appointment from 01.07.2025 or...
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Job Description Are you ready to launch your scientific career by addressing the urgent need of renewable energy integration? At DTU Construct you will break new ground at the absolute forefront of what is possible in the field of energy storage. We invite applications for a fully funded PhD...
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scientists and researchers across five Danish universities building training and research infrastructure. Your competencies We expect you to have a master’s degree in statistics, computer science, mathematics
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candidate with an interest in metabolomics, data science and immune-mediated inflammatory diseases. The ideal candidate has: A degree within biomedicine, biochemistry, computer science or similar Experience
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interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT3 on representation