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neuroscience, computational neuroscience, translational neuroscience, psychology, medicine, neurobiology, computer science, biological engineering, medical engineering, mathematics, physics, neuroimaging
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, biochemists and technicians. The multidisciplinary research in our group covers a wide range of topics from radiobiology, radiation physics and space research to radiation therapy. The radiobiological modelling
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Luxembourg. The candidate will focus on fabricating copper/carbon composites for various applications, including lithium-ion batteries. LIST has developed a water-based process that uses functionalized carbon
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
. We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements. The further process After the expiry
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welcome all applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution. At the Faculty of Physics,Institute of Applied Physics, the Chair
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to the success of the whole institution. At the Faculty of Physics, Institute of Nuclear and Particle Physics, the Chair of Accelerator Mass Spectrometry and Isotope Research offers in close cooperation with
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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within 12-18 months. You work on your dissertation and its completion. This is part of your personality: Master’s degree in Chemistry, Materials Science, Physics, or related field (grade ≥ 2 in Austrian
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mechanisms. The overall goal of the research project is to develop process understanding and parametrizations that lead to improved, energetically consistent, climate models. Close collaboration with the other
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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having