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English. A strong background in mathematics as well as programming skills are particularly valued. The project involves both theoretical and applied work. Your workplace The Department of Computer and
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the project. Qualifications To be eligible, you must have a master's degree (120 ECTS) in mineral processing, natural resource engineering or equivalent. You are expected to have a solid education in mineral
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(120 ECTS) in mineral processing, natural resource engineering or equivalent. You are expected to have a solid education in mineral processing (theoretical knowledge and experimental experience
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that support the unit for area protection and marine spatial planning, as well as operations at SLU Aqua. Your profile You have documented expertise in marine ecology and computer vision and machine learning
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unhealthy adipose tissue expansion and how sex differences influence these processes. The doctoral student project and the duties of the doctoral student This doctoral project will focus on characterization
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processing and writing. You will also take courses at the doctoral level, participate in international conferences, and have the opportunity to develop your networks across various academic disciplines and
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collaboration with farmers who are already testing these systems. As a PhD student within this project, your work will include field station and on-farm experiments, as well as data processing and writing. You
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its dependency on the pre-fire forest structure and management practices in Fennoscandian boreal forests. Work includes e.g. developing methods to assess burn severity and fuel structure, processing
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strong mathematical maturity, possess excellent programming skills, and have an excellent ability to communicate in English, both orally and in writing. Furthermore, you should be able to work
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. Your profile You have documented expertise in marine ecology and computer vision and machine learning methods for video-based fish monitoring. You have excellent IT skills and experience in handling