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contributing to sustainable forestry that creates value for both people and the environment. Read more about Södra here:https://www.sodra.com/sv/se/ Description: We are seeking an industry/collaborative PhD
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based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies
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humans and society at large is either fully automated or heavily relies on automatically provided decision support. While machine learning approaches become increasingly prevalent in this context
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based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies
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presents a unique opportunity to join a cohort of other doctoral researchers in the research school and learn alongside each other in carefully designed courses that align with the excellence centre’s
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development. We offer high-quality education at the bachelor's, master's, and doctoral levels, delivering over 120 courses annually. The department maintains extensive collaborations with academia, industry
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courses, including several master’s programmes. Learn more at: www.chalmers.se/en/departments/e2 Qualifications To qualify, you must: Hold a Master’s degree (or equivalent, 240 ECTS) in Engineering Physics
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Research Centre in Malmö. We care about creating a positive, respectful, and stimulating environment. We value communication and collaboration and a workplace that promotes learning and development for all
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part of the research area "Digestion Processes" within the Biogas Solutions Research Center (BSRC) hosted by LiU. The activities of the PhD position will be performed through close collaboration with
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computational methods with a particular focus on deep learning and image analysis. The research is done in close collaboration with the BioImageInformatics Unit of SciLifeLab . SciLifeLab is a national resource