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of measurement systems, signal processing and analysis and the assessment of measurement accuracy, robustness and long-term stability. The resulting data form the basis for model-based approaches to evaluating
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central objective is to achieve a deep, mechanistic understanding of the processes that govern electrochemical performance and cycling stability. Your research will focus on elucidating and engineering
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, a broad interdisciplinary environment and competitive salaries. The PhD student will be enrolled at ETH Zurich and will be affiliated with the Swiss Institute of Bioinformatics. The position is
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for PhD students and postdocs. Learn more at https://www.muoniverse.ch/ . Muoniverse positions often serve as bridges between individual research groups and institutions, supported through dedicated
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Network with 15 funded 3-year PhD positions in parallel. Your profile Master Degree in environmental/natural sciences or engineering, or similar. Experience with developing computational models Preferably
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training, exchanges, and career development for PhD students and postdocs. Learn more at https://www.muoniverse.ch/ . Muoniverse positions often serve as bridges between individual research groups and
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field. You bring a strong analytical background and are proficient in areas like geometric deep learning, signal processing, statistics, or learning theory. Knowledge of energy systems, multi-energy
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be considered. Where to apply Website https://academicpositions.com/ad/empa/2026/phd-position-in-operational-feasibil… Requirements Research FieldComputer scienceYears of Research Experience1 - 4
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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
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project aims to develop hydroborate-based all-solid-state batteries. A central objective is to achieve a deep, mechanistic understanding of the processes that govern electrochemical performance and cycling