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conclude on December 31st 2029. The goal of this research effort is to apply machine learning (ML) techniques, in particular (equivariant) graph neural networks to accelerate the creation of all physical
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Medicine (https://www.irem.uzh.ch/en.html) combines cutting-edge stem cell and bioengineering research to advance regenerative therapies. Based on bio-inspired principles and novel biomimetic technologies
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, such as childcare or family responsibilities, or in combination with other projects or professional commitments. Profile We are looking for candidates with a PhD (or close to finishing their PhD) in
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of the research initiative. In addition, you will have opportunities to develop e large collaborative projects with forest network partners, including members of the ForestPlots network. You hold a PhD in forest
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biology. The project aims to uncover how mechanical properties, forces, and physical phenotypes integrate with molecular networks to regulate the function of complex cellular systems across multiple
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. Authoring and co‑authoring peer‑reviewed scientific publications and presenting results at international conferences. Profile PhD in Environmental Science, Environmental Engineering, Ecology, Ecohydraulics
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the lab, and at the same time to play an active role in shaping and creating an inspiring research and working environment. In line with our and Uni Basel values (https://www.unibas.ch/en/Research/Values
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of phosphoinositide 3-kinase (PI3K) signaling in allergy, metabolic control, obesity, diabetes and cancer; see https://p3.snf.ch/project-189065 ii) developing and validation of novel chemical probes and degraders
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Laboratory in Birmensdorf.v Job description Coordinate field sampling and experimental activities across international networks. Lead dendrochronological and stable isotope analyses to assess growth, water-use
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a postdoctoral researcher to investigate the structure and function of human pulmonary lymphatic networks in health and chronic lung disease. Project background This project, funded by the Swiss