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are professors. Our mission is to advance the understanding of forest ecosystems and how these should be managed today and in the future. For more information: http://www.slu.se/en/departments/forest-ecology
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are conducted within the units Traffic Systems, Quantitative Logistics, Flight logistics, Rail and Public Transport, Mobile Telecommunications, Construction Logistics and Construction Technology. The research is
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restoration ecology (see https://www.slu.se/en/about-slu/organisation/departments/department-of-wildlife-fish-and-environmental-studies/ ). The department has many international employees and well-established
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employment conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ This is a joint PhD position with the Umeå Centre for Gender Studies
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department's activities is available at https://www.uu.se/en/department/medical-sciences Project Description This doctoral position is part of HEPARD (Health Economic Policy Advice with Real-World Data), a Marie
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. SciLifeLab and
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computational models, very good study results. We place great emphasis on personal qualities such as creativity, perseverance, the ability to work independently, and a structured approach to problem-solving. You
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a good ability to work towards set goals and you work focused and structured to achieve them. In this, you have an ability to focus, even during periods of high workload. You have good communication
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. This requires commitment, drive and the ability to structure your work to successfully complete the doctoral thesis. To contribute to a positive work environment and further both the department’s activities and
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Society, Linguistic Structures, and Language Learning and Language Teaching. Here you can read more about the research conducted within the department’s subjects and research areas: https://www.gu.se/en