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Conversion focuses on materials and device innovation for sustainable energy conversion and storage technologies. The aim of the project is to extend cycle life by the controlled release of active lithium
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system modelling frameworks to real-world challenges at different temporal andspatial scales. You will work on practical problems ranging from the design of building-level energy solutions and municipal
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lead a project focused on performing femtosecond laser measurements on arrays of coupled nanomagnets. In addition, you will contribute to the conception and design of cutting-edge experiments at X-ray
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of our Materials Vision Tech initiative, we focus on multi-element gradient thin film systems, i.e. their rapid deposition and automated multi-technique characterization. Within the Swiss-Polish innovation
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, analyzing as well as integrating omics datasets, and interpreting findings. The candidate will primarily be engaged in the following activities: Develop analysis methods and advise on experimental design
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on their background and interests. Profile • PhD in Mathematics (to be completed by the start of the position) • Strong research record in stochastic analysis, probability theory, or closely related areas • A strong
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to collaborate closely with people at the Institute for Atmospheric and Climate Science at ETH Zurich . You hold a PhD degree in hydrology, environmental sciences, climate sciences, or a closely related field. We
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computational models and collaborate closely with lab teams. Publish research findings, present at conferences, and support PhD students. Help shape new research proposals and assist in securing funding. Your
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employer, UNIL encourages excellence, individual recognition, and responsibility. Your qualifications Essential PhD degree in Accounting or related field (e.g., Economics, Finance, and Management) Excellent
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PhD in physics, biomedical engineering, mechanical engineering, or related discipline Solid background in the physics of microbubbles, ultrasound, or acoustics Experience with Verasonics ultrasound