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team. The candidates are expected to have a strong command of both written and verbal English. Place of work: Umeå Forms for funding or employment: Employment, 4 years Starting date: According
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this energy wasting and explore how common it is in soils. In this PhD, you will conduct both controlled laboratory experiments and field experiments in high latitude regions. You will get an opportunity
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growth trends using tree cores from field sites along a climatic gradient, and study physiological and morphological acclimation of trees in controlled climate-chamber settings. You will also collaborate
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. The research in the PhD project will focus on core spatio-temporal machine learning method development, including: generative models for grid-based and particle-based spatio-temporal data; controlled generation
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-temporal machine learning method development, including: generative models for grid-based and particle-based spatio-temporal data; controlled generation methods for data assimilation; and graph-based multi
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intellectually flexible, a strong communicator and willing to work as part of a team. The candidates are expected to have a strong command of both written and verbal English. Place of work: Umeå Forms for funding
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world. We look forward to receiving your application! We are looking for a PhD student in AI and autonomous systems with a focus on Vision-Language-Action (VLA) Models to control multiple heterogenous
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achieve targeted modification of semiconductor properties through electronic doping to control and modify their electronic characteristics. The project’s goal is to develop fundamental understanding and
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of trees in controlled climate-chamber settings. You will also collaborate in a unique field manipulation setup with colleagues at the SLU campus in Umeå, combining fertilization history with early snow-melt
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of FADOS is to achieve targeted modification of semiconductor properties through electronic doping to control and modify their electronic characteristics. The project’s goal is to develop fundamental