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the QIM Center for Quantification of Imaging Data (https://qim.dk/). As part of QIM, you will be interacting with a large imaging network in connection with large-scale facilities such as MAX IV, ESS
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and natural history. This role is part of the QIM Center for Quantification of Imaging Data (https://qim.dk/). As part of QIM, you will be interacting with a large imaging network in connection with
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within the areas of science and environment. For more information, see https://ruc.dk/doctoral-school-science-and-environment . As a PhD student you will be associated with the Section of Mathematics and
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-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp
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, materials science, and high-temperature processes. Experience with high-temperature experiments, numerical modelling, programming (e.g. Python, MATLAB, C++), or materials characterization is
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: Willingness to pursue a PhD degree in meteorology Good skills in written and spoken English Strong experience in dynamic meteorology Some previous experience in programming in Python and
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research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org/ The graduate school within WASP is
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climate at kilometer-scale resolution. We highly value collaboration, teaching and outreach. To learn more about our team, we invite you to visit our website: https://klimadynamik.univie.ac.at
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areas: IoT, data mining, cloud/edge/fog computing. • Good knowledge in one of the following programming languages: C/C++, Python. Place of employment: Karlskrona. Employment level: 100%. Commencement
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quantitative methods such as mathematics, statistics, and programming, broad knowledge of natural and anthropogenic processes affecting carbon storage, and a willingness to conduct fieldwork in remote and