63 Environment-"University-of-Surrey" positions at Chalmers University of Technology in phd
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builds upon our group's expertise in magnetically levitating superconducting microparticles on a chip. The research is placed in the vibrant research environment at Chalmers, encompassing the Quantum
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environment? Then, we invite you to apply for a PhD position in theoretical nano-physics at Chalmers University of Technology in Gothenburg Sweden. As a prospective PhD student you will be involved in research
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experiments. Information about the division and the department The Plasma Physics and Fusion Energy (PPFE) group at the department of Space, Earth and Environment/Astronomy and Plasma physics division has
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researchers, in dynamic and outstanding research environments, as well as in national and international research networks. Information about the division The position will be based at the Division of Product
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impact on the environment originating from this enormous energy consumption. Phosphor-converted LEDs have become mainstream for many lighting applications. Commercially used LED phosphors are inorganic
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flow control. The candidate will work within a dynamic and collaborative research environment, gaining invaluable experience in developing innovative solutions that have tangible impacts on data security
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of cybersecurity and privacy, addressing real-world challenges in data protection and information flow control. The candidate will work within a dynamic and collaborative research environment, gaining invaluable
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embedded into an interdisciplinary environment between the Chalmers departments of Computer Science and Engineering as well as Chemistry and Chemical engineering , and the Wallenberg Centre for Quantum
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innovative methodologies while contributing to real-world imaging applications. Moreover, you will enjoy working in a diverse, collaborative, supportive and internationally recognized environment. The PhD
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, you will enjoy working in a diverse, collaborative, supportive and internationally recognized environment. The PhD project centers on understanding and improving deep learning methods for 3D scene