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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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, contributing experimental data and validated modelling frameworks to the overall goal of establishing a deeper understanding of the structural behaviour of TESC members in fire and the influence of the timber
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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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to think critically and a strong aptitude for interpreting/analyzing complex data. We are looking for someone with excellent organizational skills, creative, highly motivated, and fluent in English with
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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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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
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should be directed to Prof. Dr. Daniel J. Müller, daniel.mueller@bsse.ethz.ch and/or Prof. Dr. Sascha Fauser, sascha.fauser@roche.com (no applications). Further information about the Biophysics Group
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experimental information available, which hinders the disentanglement of intertwined processes. The Ph.D. candidate will work in the subgroup of Dr. Dmitry Zimin and focus on realizing novel experiments
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financial economics. Importantly, you have advanced programming skills to effectively manage and analyze big data. Having attended courses in Econometrics is an asset. We offer you You will be part of a