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Field
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modelling, inverse methods, and scientific programming in Python You must have a MSc in Earth and Space Physics or a related subject You must have a two-year master's degree (120 ECTS points) or a similar
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AI. Learn more about the lab's work at: https://martinpawelczyk.github.io/ . Tasks and Responsibilities Develop machine learning methods and tools with a specific focus on: Data-Centric AI: Including
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. Doctoral studies end with a thesis and a doctoral degree. More about being a doctoral student at LTH on lth.se. https://www.lth.se/english/study-at-lth/phd-studies/ AEGIS — Adaptive Grid-Interactive
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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
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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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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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: 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