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wireless communications, sensing, machine learning, and robotics, with the ambition of producing contributions relevant to leading venues in both the communications and AI communities. Your
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particular pollen and fungal spores. The geographical focus is on both the urban environment and agricultural areas in Denmark • You will be contributing to the dynamical integration of near real
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part of a world leading research environment and contribute to the development for the next generation machine learning tools for power systems. One Postdoc will be involved in the newly funded project
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intersection of robotics, control engineering, machine learning, and neuro-inspired computing, while collaborating closely with academic partners and researchers across disciplines in Denmark as well
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learning research, possessing a combination of mathematical maturity and advanced engineering skills: Education: A PhD in Computer Science, Mathematics, Statistics, or Theoretical Physics at the time of
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are expected to have: a PhD degree in computational imaging, ideally X-ray CT reconstruction experience developing deep learning and/or regularization-based image reconstruction methods experience
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Employment - Hours Full time Duration Fixed term Qualification PhD Sector Academia Apply on website (This will open in a new window from which you will be automatically redirected to an external site
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may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Furthermore, you have the option of joining our monthly free seminar “ PhD relocation to Denmark and startup
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Faculty of IT and Design invites applications for a PhD stipend in the field of secure machine learning within the general study programme Electronic and Electrical Engineering; as per November 1, 2026, or
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information may be obtained from Irina Borodina, [email protected] You can read more about us at https://bright.dtu.dk If you are applying from abroad, you may find useful information on working in Denmark