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Field
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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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Marie Skłodowska-Curie Actions (MSCA) Doctoral Network MicroMan4Health – Data-Centric Micromanufacturing Platform Towards Added Value in the Health Sector ( https://www.microman4health.eu/ ). The
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. Experience in LLM post-training and benchmarking/evaluation. Experience building agent harnesses and the software environments used to run and evaluate them. Strong Python programming and software
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responsible 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
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advantage: Experience with C, Python, MATLAB, or similar programming languages. Experience in scientific writing and academic publishing Students in the final year of their master's programme are also welcome
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areas above is required. You also need good programming skills in C++ and Python and experience of ROS or ROS 2. Good oral and written English is required, since you will present the group's work in
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, or SPECT Artificial intelligence or machine learning for biomedical image analysis Python, MATLAB, C++, or similar scientific programming languages Multi-modal image registration and quantitative