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. Empa is a research institution of the ETH Domain. The Laboratory of Advanced Materials Processing (LAMP) is a multidisciplinary research unit that develops innovative functional modification of materials
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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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. 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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graphic designer to prepare graphics for individual analytical chapters. This will include identifying suitable sources and databases; collecting data for infographics and preparing them for design; and
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, environment, society and health as well as health systems and interventions. The Digital Health Unit is currently looking for a strategic implementer to further develop its thematic profile and portfolio as
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at the intersection of data science, neuroscience, and clinical research. Project background This position focuses on spinal cord injury (SCI) and aims to develop data-driven methods to improve clinical trial design
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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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Ideas, SBB, and gfs.bern, you will collaborate with Dr. Andrea Bublitz to develop and validate LLM-assisted pipelines that reduce data-collection costs while maintaining validity for marketing and opinion
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welds. Modelling and simulation: development of a physics-based simulation framework (e.g., phase-field modelling) to predict hydrogen-assisted crack growth and long-term mechanical integrity of steels