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of forests in climate change are now key social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed
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design, biology and materials science. This part will include qualitative and quantitative data collection for our biomaterial material characterization and environmental impact assessment using methods
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modelling at both catchment and road scales, incorporating input from relevant stakeholders.The candidate will gain extensive knowledge in hydrological modelling, climate adaptation, road engineering, and
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undergraduate and postgraduate education, research and collaboration. About 180 people are employed in five divisions. The department is the largest at SLU within social sciences, humanities and design. This
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, Internet of Things, Systems-of-Systems automation, Machine Learning, Deep Learning, Data Science, Electronic systems design, and sensor systems. Cyber-Physical Systems (CPS) focuses on integrated software
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technology, power, and politics. Particular merits include: Skills in relevant methods, such as qualitative text or discourse analysis, digital ethnography, quantitative analysis of digital data, social
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, Internet of Things, Systems-of-Systems automation, Machine Learning, Deep Learning, Data Science, Electronic systems design, and sensor systems. Cyber-Physical Systems (CPS) focuses on integrated software
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department’s activities here: https://www.uu.se/en/department/immunology-genetics-and-pathology Read more about our benefits and what it is like to work at Uppsala University The Data-driven Life Science (DDLS
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Engineering and Autonomous Systems division . We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and learning
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information: http://www.slu.se/en/departments/forest-ecology-management/ Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Name of research project