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Welcome to Linnaeus University! Here you'll meet 2 200 staff members and 40 000 students, all united in following the vision to set knowledge in motion for a sustainable societal development. With us, research and education are conducted with an eye towards the future. Our proximity to the...
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Subject description Soils are the base of our society and our food security, but they are one of the last domains of our modern life to be technologized. Soil microbes are essential as symbionts, pathogens and drivers of nutrient cycles, but it has been difficult to study them in their natural...
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-of-the-art computational resources, enabling advanced simulations and modeling. Moreover, we actively collaborate with leading experts in laser diagnostics, automatic control, heat transfer, and life cycle
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, the Knowledge Foundation (KK-stiftelsen) and industry partners have decided to support Mission 0 House with an additional program, with a budget of nearly 100 million SEK over a five-year period, starting in Q1
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agreed upon. Department of Computing Science The Department of Computing Science has been growing rapidly in recent years, with a focus on creating an inclusive and bottom-up driven research environment
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; significant practical experience in 3D image analysis or computer vision; knowledge and experience in scientific programming (python (preferred), Matlab or other relevant language) with application to image
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leading to production and harvesting in the regulated countries moving to unregulated countries. The position is part of a joint research program between Swedish University of Agricultural Sciences (SLU
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject (RAI) (www.ltu.se/robotics) at the Department of Computer Science, Electrical and Space
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activities, which also include responsibility for the master's programme in Naval Architecture and Ocean Engineering and contributions to the education of seafarers. Your profile To qualify for this position
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description