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the formation of double-strand breaks, copy-number alterations, and other structural genome changes. Our group combines cutting-edge genome biology approaches with quantitative, multi-omics analyses to uncover
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of biodegra
Marie Skłodowska-Curie (MSCA) doctoral network led by Prof. Cecilia Persson, Uppsala University. Print4Life – Advanced Research Training for Additive Manufacturing of the Biomaterials and Tissues
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laboratory cells, i.e. battery prototypes. • Multiscale modelling to better understand RFB behavior and identify optimal hierarchical shaped pore- and electrode-structure to encounter optimum electrolyte as
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through simulation Utilize advanced CMOS technology nodes (28nm, 22nm, and below) Automate the design and layouts using Skill programming Develop behavioural models for circuit verification Contribute
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computational and data-driven approaches, focusing on topics such as plant carbon transport, microbial systems, or circular bioprocesses. You will contribute to developing and applying novel modeling strategies
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research projects will focus on spectroscopic investigations of ultrafast dynamics in organic molecular semiconductors. As a PhD student in the group, you will use advanced ultrafast spectroscopy techniques
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, specifically battery prototypes. What you will do Multiscale modelling to better understand RFB behavior and identify optimal hierarchical shaped pore- and electrode-structure to encounter optimum electrolyte as
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techniques is central to our mission: Development and application of advanced simulation techniques to explore and identify the fundamental structures and mechanisms occurring in these materials and their
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-funded project Print4Life, a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Cecilia Persson, Uppsala University. Print4Life – Advanced Research Training for Additive Manufacturing
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twins and determination of the structural properties of rotor blades to improve the estimation of remaining useful lifetime (RUL) along with other requirements and simulations. Your work will advance