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the EUROfusion consortium, which conducts experiments on several European fusion devices such as JET. There are also close links to the ITER project. About the research project Up to three PhD positions
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encompasses a comprehensive life cycle assessment for evaluate the environmental impact of the hybrid materials and process for the biomass valorization. This PhD position is part of the Wallenberg Wood Science
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of vegetation, presenting the ability to derive the internal functional traits and physiological properties of trees. This PhD position focuses on developing a method to capture localized measurements of water
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We are looking for a PhD student in Medical Science with an interest in molecular and structural virology. The position at the Department of Medical Biochemistry and Biophysics at Umeå University is
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. The position at the Department of Medical Biochemistry and Biophysics at Umeå University is temporary for four years to start during spring 2025 or as agreed. The PhD student will participate in activities
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. The position at the Department of Molecular Biology at Umeå University is temporary for four years with planned start date 1 September 2025 or upon agreement. The PhD student will participate in activities
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Informatics is recruiting a PhD student for a fixed-term employment of four years starting in
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compatibility with industrial applications. The position is part of a large EU project SurfToGreen where you will have the opportunity to interact with world-class researchers in a multidisciplinary environment
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and verbal communication skills in English. Motivation to work in an interdisciplinary team and contribute to the development of future sustainable power systems. What we offer The PhD position is fully
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reducing the overall carbon footprint and promoting ecological responsibility. As a PhD student, you will join our Machine Learning group in Sustainable Machine Learning. As part of our dynamic research