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)chemistry, biotechnology, biophysics, or a related discipline. Experience with molecular cloning, protein expression, purification, and characterization, biocatalysis, as well as high-throughput screening
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element modeling, computational fluid dynamics). Knowledge of heat and mass transport processes in heat-sensitive materials and process optimization. Experience in supply chains and hygrothermal
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Science group at ETH Zürich welcomes applications for a fully funded Ph.D. position. We utilize state-of-the-art experimental infrastructure to investigate the dynamics of matter on its natural time scales
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thoroughly analyzed with state-of-the-art theoretical models and published fully open access. The aim of our research is to advance the fundamental understanding of electrical insulation and current
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with ex situ experiments, demographic modelling or handling large datasets as well as holding a valid driver's license is a plus. Application / Contact Please upload your application via our online
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, for advancing our fluorescence-based DyeCycling/FRET technology to study biomolecular dynamics. Biomolecular dynamics, such as conformational changes, are the understudied link between biomolecular structure and
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. Experience in GIS and handling large datasets is a plus. A fully-funded PhD position for four years in a dynamic research group with an excellent research infrastructure in the international and
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will develop and apply advanced methodologies, including scenario analysis and the innovative use of satellite data, to model the exposure and vulnerability of companies to climate-related hazards (e.g
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layers, thorough FLA processing, and extensive materials characteri-zation using XRD, electron microscopies, TOF-SIMS, electrochemical methods, etc. Modeling and simulations should help us to explain
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with large language models (LLMs). The successful candidate will investigate both theoretical aspects – such as understanding the mechanisms and limitations of reasoning in modern LLMs – and practical