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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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economics. The department gives both basic and advanced courses for students within several different engineering programs in the areas of control and learning. There is also extensive postgraduate education
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track record, including high-impact and highly cited publications. Good knowledge in English, oral and written. Additional merits Expertise in web programming and web application development. Expertise in
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Technology (Maria Taljegård). Main responsibilities Plan and perform research under the guidance of supervisors Apply and develop energy- and environmental systems assessment methods and tools Collect and
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collaborate and communicate 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
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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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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. However, as a public authority, the university has Swedish
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and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create
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courses and educational programs in forestry and wood technology at both undergraduate and advanced levels. Subject area for the position: Postdoc fellowship in forest products Location until further notice
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skills in English are required. Assessment criteria: Good programming skills (e.g., C++, Python, Julia), knowledge of the most common frameworks, e.g., Tensorflow and JAX, and cloud platforms/deployment