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research exploring the processes controlling tropospheric composition (gases and particles) and their intersection with global change. Research makes extensive use of global modeling tools (GEOS-Chem and
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optics, supported by an excellent academic record, Experience with data analysis and familiarity with software tools for automated measurement, data acquisition, or data processing, The ability to work
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understand how dynamic processes shape disease states at cellular and molecular scales. The project brings together expertise in artificial intelligence, computational RNA biology, and neuroscience. It is a
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systems developed in the SAM3 project in terms of process-structure-mechanical property-function relationships. The candidate will be enrolled as PhD student at the Doctoral School for Materials Science and
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coordination, and organizational tasks within the research group. You have a very good master's degree in Psychology. You are interested in cognitive and developmental processes underlying learning. You enjoy
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terms of process-structure-mechanical property-function relationships. The candidate will be enrolled as PhD student at the Doctoral School for Materials Science and Engineering (EDMX) of EPFL (Lausanne
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the environment, lifestyle factors and drugs, as well as cellular metabolism and oxidative stress. In this PhD project, you will expand this research to uncover biomarkers of aging, a process driven by DNA damage
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the development and application of nonlinear dynamical systems methods for complex physical problems known only from data. The objective is to provide efficient, theoretically sound, fast, and directly
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the Center of Digital Lives We value close collaboration within the research group and therefore expect regular on-site presence, typically several days per week You have a very good master degree in
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Zurich. The four-year project, funded by the Swiss National Science Foundation (SNSF), will investigate the in-cloud scavenging processes of plastic aerosol particles through laboratory experiments