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within the open call on “Molecular Mechanisms in Genome Stability & Gene Regulation”. As an IPP PhD student, you will join a community of exceptional scientists working on diverse topics ranging from how
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within the open call on “Molecular Mechanisms in Genome Stability & Gene Regulation”. As an IPP PhD student, you will join a community of exceptional scientists working on diverse topics ranging from how
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Mechanisms in Genome Stability & Gene Regulation”. As an IPP PhD student, you will join a community of exceptional scientists working on diverse topics ranging from how organisms age or how our DNA is repaired
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: 01.10.2025 Application deadline: 03.09.2025 Tasks Execution of experimental work in a mouse model of cortical multiple sclerosis Application of in vivo imaging and quantitative analysis methods Investigation
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results in materials with diverse microstructures and mechanical properties Perform experimental characterizations of additive-manufactured and heat-treated steels, using state-of-the-art methods, such as
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results in materials with diverse microstructures and mechanical properties Perform experimental characterizations of additive-manufactured and heat-treated steels, using state-of-the-art methods, such as
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the renewable energy colleagues at IMT Elucidation of the dominant separation mechanisms, to achieve both fundamental understanding and optimized process performance The PhD project will be predominantly
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? What are the most suitable photocatalytic material characteristics for micropollutant degradation in water and what are selection criteria / tools? What are the mechanisms behind membrane photocatalysis
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of micropollutants and how micropollutant removal be verified? What are the mechanisms for micropollutant removal with these membranes? What are the limiting factors to micropollutant removal, and which membrane
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construction of random unitaries based on quantum circuits Transfer these efficient randomization techniques into applications, especially classical shadows Model and identify the effects of experimental errors