28 postdoc-parallel-computing positions at Swedish University of Agricultural Sciences in Sweden
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Swedish and English are used in parallel at the department. The professor should be able to perform most of their tasks in English. However, as a public authority, the university has Swedish as its main
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the society at large disseminate research findings fulfil administrative tasks within the department, the faculty and the university Swedish and English are used in parallel at the department. The professor
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with relevant stakeholders in the surrounding society Swedish and English are used in parallel at the department. The Associate Senior Lecturer should be able to perform most of their tasks in English
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Associate Senior Lecturer/Assistant Professor* in silviculture with a focus on silvicultural systems
English are used in parallel at the department. The Associate Senior Lecturer should be able to perform most of their tasks in English. However, as a public authority, the university has Swedish as its main
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findings fulfil administrative tasks within the department, the faculty and the university Swedish and English are used in parallel at the department. The professor should be able to perform most
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communicating with relevant actors in the industry The department has a parallel language work environment. The assistant senior lecturer will be able to perform most academic tasks in English. However, as
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used in parallel at the department. The professor should be able to perform the majority of their tasks in English. However, as a public authority, the university has Swedish as its main language
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well as to reduce other negative environmental impacts, are central to the work. The work will build on the extensive knowledge and model structure developed within phase 1 of the research program Mistra Food Futures
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master degree degree is required in relevant areas such as remote sensing, computer sciences, and mathematics. You are also required to have strong background in deep learning for image analysis, e.g
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sensing, forestry, ecology, agriculture, and computer sciences. Experiences in scientific programming and 3D remote sensing data processing and analysis are required, as well as fluent in English for