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we seek to enhance resources for student learning on statistics and machine learning applied to these topics. Project background We would like to develop learning exercises that help students learn how
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connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
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-being of society for a future worth living. Empa is a research institution of the ETH Domain. The Center for X-ray Analytics develops X-ray methodologies for understanding materials structure in materials
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Simulation Framework The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational tools. Our group
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. We are working closely together with ETH researchers to provide support in the wide area of scientific computing from data management and analysis, development of scientific software, to porting and
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100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational
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order to promote human health and chemical and drug safety. Researchers develop and apply quantitative chemical, in vitro, and computational approaches to address problems in Toxicology. More information
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applications, and presentations at conferences. • Mentor and train students. Your qualifications Required: • Ph.D. in cell biology, biochemistry, physiology, molecular medicine, or related field
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ecology. The successful candidate will develop an internationally recognised research program on understanding plant popula-tions. Potential topics include, but are not limited to, evolutionary ecology
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facility automation. To push the efficiency limits of such DC supplies, you will develop new converter concepts for AC/DC power supplies with an ultra-wide input voltage range, which are highly efficient