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Group in the Social Networks Lab at ETH Zürich is developing network data science methods and applying them in a variety of domains. Our current research focus is on sports analytics and we seek to expand
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transfer. We use complementary approaches including cryo-EM, biophysical methods and in vivo functional assays to study the protein machineries involved in this process. Join our young, ambitious, and
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-handed one, known as enantiomers. Their handedness greatly influences molecular interactions, sometimes making the difference between a medical drug and a toxic substance. Therefore, methods for detecting
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collecting the samples, you will perform lab analyses to determine the total elemental composition and elemental speciation of various chemical compounds using ICP-MS based methods, as well as other chemical
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phase-field modeling and/or FEniCS are a plus A keen interest in computational mechanics and in scientific methods and research in general We offer Your job with impact: Become part of ETH Zurich, which