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Field
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of the Saragovi Lab is to develop and apply a combined computational, Artificial Intelligence (AI) and high throughput experimental approach to systematically infer protein-semiconductor hierarchies materials and
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. In this project, you will have the opportunity to combine molecular biological methods with field studies and data analysis to enhance preparedness against forest diseases and promote sustainable
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upon specific stress conditions and to characterize their contributions to the stability of this small but indispensable genome. These questions will be addressed using a combination of cell and
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to combine qualitative and quantitative research areas. Preferred qualifications A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
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addressed using a combination of cell and molecular biology methods and in vitro biochemistry assays based on purified recombinant proteins. Qualifications The post-doctoral fellow is required to have
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organizations across public and private sectors (including the Swedish Transport Administration), you will conduct mixed-methods research combining qualitative studies, survey development, and statistical
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power grids. In this role, you will combine theory and experimentation to address one of the most critical challenges in modern energy systems, maintaining stability in an increasingly converter-dominated
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, yield and resistance. The position is part of a larger project on both fundamental and applied research on mechanical signalling in plants, combining basic knowledge with modern plant breeding. Work
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We are looking for a postdoctoral researcher who wants to contribute to the development of next-generation frameworks for resilient power grids. In this role, you will combine theory and
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for Clean Energy Conversion: Learning Multiscale Dynamics in Fuel Cell Systems”. The project aims to develop a multiscale modeling framework that combines computational fluid dynamics (CFD), electrochemical