69 big-data-and-machine-learning-phd Postdoctoral research jobs at Technical University of Denmark in Denmark
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PhD students working collaboratively at the interface of physics and Earth science. This project offers a rare opportunity to engage in groundbreaking research with high impact across both academic and
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observations from the Kepler and TESS satellites, complemented by Gaia data and ground-based spectroscopic and spectropolarimetric observations. See more information here: https://www.space.dtu.dk/english
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to enhance imaging quality and speed Creating efficient data acquisition and processing workflows for large datasets of skin nanotexture images Optimizing hardware-software integration for robust performance
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of characterization tools (electrical, optical, x-rays, surface science, spectroscopy, microscopy, etc.) Solar device/stack engineering As a formal qualification, you must hold a PhD degree (or equivalent). You are
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materials discovery, materials 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
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academic and industrial partners in Denmark as well as abroad. We expect you to: Perform research at the highest standards Supervise BSc, MSc student and PhD students Contribute to the strong international
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DTU’s wave flumes Planning, executing and analysing results from an experimental campaign in the oscillatory flow tunnel at the University of Aberdeen Assembling a large database containing historical
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conferences, and engaging in teaching activities. As a formal qualification, you must hold a PhD degree (or equivalent) in either electrochemistry, microbiology, fermentation, or environmental engineering, and
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cross-institutional collaboration and knowledge exchange. This project offers a unique opportunity to work at the intersection of academia, start-ups, and large-scale industry partners. Our focus is on
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, documented through a PhD dissertation and/or research publications experience in independently managing research projects excellent communication and interpersonal skills, with the ability to engage