217 Education-"https:"-"https:"-"https:"-"https:"-"Eureca-Pro" positions at ETH Zurich
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techniques Perspectives for career development A diverse and interdisciplinary team chevron_right Working, teaching and research at ETH Zurich We value diversity and sustainability In line with our values
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attosecond pulses, including the integration of CEP stabilization, XUV optics and active path-length stabilization Develop and validate methods for the complete temporal and polarization characterization
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them in peer-reviewed journals; contribute to the scientific life and teaching activities of the group Profile A Master's degree in physical chemistry, physics, chemistry, photonics, electrical
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emphasis on respiratory metabolism and non-alcoholic fermentations Investigate the biochemistry of respiratory metabolism in yeasts and its influence on wine and beer organoleptic quality Develop, optimize
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interpret experimental data to develop mechanistic understanding Contribute to the development of new concepts for electrolyte-controlled electrocatalysis Present your work at international conferences and
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of thought, background and experience creates better research. ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting
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, experience and areas in which they would like to develop further expertise. Job description As a doctoral researcher, you will develop a dissertation in applied macroeconomics, public finance and/or political
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or develop novel techniques that combine spectroscopy and transport measurements to study novel condensed matter phenomena. The successful candidate must have an outstanding research background in experimental
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collaboratively in a research-focused environment. Project background We train open foundation models with hundreds of billions of parameters on thousands of GPUs on one of the largest AI-ready supercomputers in
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track record of open-source contributions. Project background We train open foundation models with hundreds of billions of parameters on thousands of GPUs on one of the largest AI-ready supercomputers in