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belongs to the Department of Engineering Sciences and Mathematics. It is an institution with many successful teams and recognized educational programs. We work closely with companies/industries in both
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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trustworthy, we facilitate large-scale and reliable use of AI across different industries. Your work assignments You will work at the intersection of machine learning, cybersecurity, and privacy, developing
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secondary materials. Work duties also involve close collaboration with the consortium members in the European project and help in creating reports based on research results. Your profile Students with a
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benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ How do oomycete plant pathogens shape plant microbiomes in agricultural systems? Research subject: Biology
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and small, contribute to a better world. We look forward to receiving your application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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effective antimicrobial strategies to prevent infection and inflammation related to hearing implants. This project is part of the SHIELD doctoral network (Strategies for Healing Implant-associated infections
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organic chemistry. More than 100 people, including around 45 PhD students, work at the department. New employees and students are recruited from all over the world and English is the main working language
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FieldEngineeringYears of Research Experience1 - 4 Additional Information Work Location(s) Number of offers available1Company/InstituteLuleå tekniska universitetCountrySwedenGeofield STATUS: EXPIRED