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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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. Our work has global relevance, with particular expertise in forests and forestry as complex socio-ecological systems. Our research spans silviculture and forest management, forest ecology, forest
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complex socio-ecological systems. Our research spans silviculture and forest management, forest ecology, forest pathology, and forest policy and planning. We work closely with stakeholders and offer a
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in forests and forestry as complex socio-ecological systems. Our research spans silviculture and forest management, forest ecology, forest pathology, and forest policy and planning. We work closely
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, you will: - conduct independent research combining field investigations and numerical modelling of multimodal data (taking into account subsurface structural complexity and anisotropy); - develop
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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-driven re-planning, and autonomous semantic-aware inspection of complex infrastructure. The RAI team has a strong European and National participation in multiple R&D&I projects. Duties As a PhD student you
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-driven re-planning, and autonomous semantic-aware inspection of complex infrastructure. The RAI team has a strong European and National participation in multiple R&D&I projects. Duties As a PhD student you
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estimated from observed data. The overall aim of the project is to develop statistical theory, methodology, and computational methods for such complex data problems, with a particular focus on models