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- 
                Field
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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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                to advance rural development theory and practice through entrepreneurship. EPHEMERAL explores how entrepreneurs shape rural places over time, considering life-cycle dynamics, evolving local contexts, and 
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                students’ academic and mental health outcomes. Job responsibilities include: Conducting descriptive and advanced statistical analyses (including multilevel modeling) on extant and merged datasets using SAS 
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                of IAI mechanisms and develop innovative antibacterial biomaterials to improve patient outcomes. Structured around three core scientific pillars—regenerative medicine, biomaterial science, and 
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                on the development of new platforms for osteoarthritis research, including advanced in vitro and ex vivo culture models. With these models we strive to reduce and replace animal experiments while working towards 
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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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                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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                the efficient and clean use of renewable synthetic fuels. Candidates will develop advanced skills in combustion science, chemical kinetics, and digital modeling. Each PhD will lead to a double degree awarded by 
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                ), IBPS, Sorbonne Université. The team possesses expertise in developing application-specific microfluidic models that integrate desired mechanical conditions of fluid flow and substrate viscoelasticity