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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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with partners in Bern to develop multi-compartment organ-on-chip systems integrating lymphatic and vascular networks under physiologically relevant mechanical conditions Apply expertise in lymphatic
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The ETH AI Center offers a unique fellowship program for doctoral students, designed to foster interdisciplinary collaboration and a positive impact to society. The ETH AI Center promotes
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Zurich, and a strong commitment to professional development, with training and career advancement opportunities as part of our personnel policy. chevron_right Working, teaching and research at ETH Zurich
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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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develop predictive tools for mechanical failure. Our team is highly interdisciplinary and international, bringing together researchers with backgrounds in materials science, mechanics, and applied physics
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independent analytical work with active participation in joint project planning, interpretation, and dissemination of results. Your responsibilities will also include the development and maintenance
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. Commercial solutions avoid entanglement-based methods due to technical challenges, yet this limits the impact such technologies can have. In this project, we aim at further developing photonic integrated
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simulation techniques and work on efficient rendering algorithms. Job description Develop and optimize physically-based simulation algorithms, with a focus on cloth, soft bodies, or deformable materials
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Your position • Further develop and ensure the quality of risk assessments (institutional, local offices, projects etc.): Conduct risk assessments, identify areas for improvement, and implement