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GPU infrastructure. This Postdoc position is part of the eSSENCE graduate school in data-intensive science. The school addresses the challenge of data-intensive science both from the foundational
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to the group’s open-source software, and participation in the supervision of students. A limited amount of teaching may be included (max 20%). Requirements PhD degree in machine learning, computer science
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
research in condensed matter physics, nanotechnology, photonics, ultrafast spectroscopy, and theoretical and computational physics. We announce a PhD position within the Marie Skłodowska-Curie Doctoral
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research in condensed matter physics, nanotechnology, photonics, ultrafast spectroscopy, and theoretical and computational physics. We announce a PhD position within the Marie Skłodowska-Curie Doctoral
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substantially better performance as compared to traditional power electronic devices based on Si and SiC. The position is part of a large initiative funded by KAW to develop a comprehensive platform that will
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research outcomes. An outline of your future goals and research focus. Use the button at the foot of the page to reach the application form. The position may need security clearance and a background check
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make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract researchers and students from around the world. With new knowledge and new
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duties The main duties involved in a postdoctoral posistion is to conduct research. Teaching may also be included, but up to 20% of working time. The purpose of the position is to develop independence as a
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support accessibility, human health and biodiversity together and how these insights can inform urban planning and design. It will work closely with the PhD project on Pedestrian-Weighted Exposure, which
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, forecast, and crowd-sourced station data into probabilistic maps. The challenge: conditioning generative models on large, heterogeneous, incomplete data will require the student to work on cutting-edge ML