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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral position in Development and application of computational methods
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the development of theoretical or computational methods for quantum many-body systems, quantum computing, or machine learning. Strong leadership skills. Ability to collaborate and establish positive interactions
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the fundamental understanding of electrical insulation, motivated by the need to develop novel engineering solutions. We work closely with leading manufacturers of power transmission and distribution equipment, and
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research team and have a unique professional development opportunity to help shape and guide initial investments in laboratory infrastructure. Project background This postdoctoral position would build upon
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have profound applications and potential in protection of environment and high health standards. Our group is engaged in development of various sensors targeting biological pollutants, measurement
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sustainable energy and chemical process systems. Our research spans from the molecular level to the scale of systems. We develop methods to advance sustainable energy and chemical process systems from
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, organic geochemistry and past environmental changes to work on developing the subsurface (mineral soil profiles) as geological archives for lipid biomarkers and soil organic matter composition. Your
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exploring the molecular mechanisms underpinning bacterial evolution and resistance. This fully-funded, full-time position combined with ETH's excellent working conditions, makes the role especially appealing
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presentation skills and excellent skills in technical/scientific writing. With the social and leadership competencies , ETH Zurich has developed a common understanding for a shared work culture. Kindly try to
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characterization. Project background The highly interdisciplinary project is about the development, characterization, modeling, and application of micro-and nanoscale ultrasound contrast agents for molecular imaging