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within the Department of Chemistry. The long-reaching scientific endeavor of the Saragovi Lab is to develop and apply a combined computational, Artificial Intelligence (AI) and high throughput experimental
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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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combine experimental studies with the analysis of in vivo blood and muscle data. Since the project is translational, you will collaborate with both clinical and preclinical researchers as
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combination of field and laboratory studies, each using state-of-the-art thermophysiological measurements and associated molecular and quantitative assays at field sites across Europe. The position is suitable
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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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emissions and achieve climate neutrality. The project will combine world-leading research on climate action, the use of AI in urban planning, and nature-based solutions (NBS) to create a tool which supports
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will be based on a combination of field and laboratory studies, each using state-of-the-art thermophysiological measurements and associated molecular and quantitative assays at field sites across Europe
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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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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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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