98 civil-engineering-soil-structure-interaction PhD positions at Technical University of Denmark
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Digital Twins for Wind-Offshore and GREAT: GRid Enhancement for Ancillaries in Tomorrow’s power systems, where you will interact with researchers and experts from TotalEnergies and many other research
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database experts to access and interpret datasets. Conduct statistical modeling of fish distribution and habitat interactions. Interpreting results in the context of fish ecology, marine conservation and
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be considered. All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which
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-small silicon nanocavities [Babar2023, Rosiek2023] with extreme light-matter interactions. We aim to combine fundamental theory, device design, and our unrivalled capabilities in high-resolution silicon
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-matter interactions for applications in sensing, optical communications, and quantum technologies. The scientific environment at our department is vibrant and highly collaborative with world-class
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processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees. Read more
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Space we seek candidates with a strong interest in glaciology for a PhD position in “Understanding the recent behaviour of two major outlet glaciers in Greenland”. You will break new ground at
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, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction
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of technology, contribute to maritime security, or lead innovations in the growing field of autonomous systems, this PhD position will equip you with the skills, knowledge, and experience to succeed. If you are
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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics