180 data-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions at ETH Zurich
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information about the ETH Student Project House and our machines can be found on our website or on Instagram . About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and
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10%-30%, Zurich, fixed-term We are looking for a student research assistant to help us develop our Digital Twin of Swiss Mobility, who has very good skills in data processing with Python and/or
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have experience with: quantitative biophysical methods (e.g. fluorescence anisotropy, ITC, SPR). cryo-EM (sample/grid preparation, data acquisition, data processing, model building and interpretation
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. fluorescence anisotropy, ITC, SPR). Experience with cryo-EM workflow (sample/grid preparation, data acquisition, data processing, model building and interpretation). The writing of scientific papers and active
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the development of critical thinking, data analysis, problem-solving, and project management skills while contributing to the broader academic community through publications and presentations at leading conferences
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letters. Further information about the Department of Architecture can be found on our website . Questions regarding the position should be directed to Ms. Kindler-Gordon, kindler@arch.ethz.ch
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that are relevant for the proposed research. Copies of relevant diplomas and work samples. Two reference contacts or reference letters. Further information about the Department of Architecture can be found on our
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biomarkers. To develop organ-on-a-chip to evaluate health impact of environmental pollutants. To perform data analysis and result communication. Profile A doctoral degree in biotechnology, bioengineering
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professional and personal growth. Your responsibilities will include designing and conducting wet-lab experiments that address specific research questions, analyzing complex data and effectively communicating
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observations, and to quantify how fires contribute to the global ozone background now and in the future. Job description The doctoral student will develop skills in atmospheric chemistry, global modeling, data