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evaluation of AI for radiological breast cancer diagnosis. Our group has expertise in radiology, biostatistics and machine learning. In addition, we have a strong collaboration with research groups at KTH. Our
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leave – then these may be taken into consideration. We are searching for a person with a PhD degree in area of Organic Chemistry focus on Catalysis, merit is given to documented interest in advanced NMR
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://www.slu.se/en/departments/forest-biomaterials-technology/ ), the Department of Fibre and Polymer Technology at KTH (https://www.kth.se/fpt/fibre-and-polymer-technology-1.778696 ), and the Department
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of Fibre and Polymer Technology at KTH (https://www.kth.se/fpt/fibre-and-polymer-technology-1.778696 ), and the Department of Forestry and Wood Technology at Linnaeus University (https://lnu.se/en/meet
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multidisciplinary collaboration between KTH, Chalmers and Linköping University. The base is a donation from Knut and Alice Wallenberg Foundation, and the forest industry is supporting WWSC via national platform
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, networking, AI planning, and cloud computing, within the renowned AI group at our department as well as two other universities in Sweden (KTH and Umeå University). The project will be coordinated by Professor