102 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions at ETH Zurich in Switzerland
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seismicity and landslides. Application: Scaling up to assess the spatial distribution of long-term hydrological changes across Switzerland. As a final project goal stands the development of a real-time
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for implementing system developments based on innovative technologies to improve operational efficiency, must adhere to safety requirements for scalable and well-documented solutions to acquire regulatory approval
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international collaborations, high-impact publications, and active involvement in student supervision. The position offers a unique opportunity to contribute to the development of innovative model structures
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80%-100%, Zurich, fixed-term The Biomaterials Engineering research group at the Institute for Biomechanics (IfB), D-HEST, ETH Zurich, develops biomaterials and advanced biomanufacturing systems
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. The focus is on developing AI-supported, sensor-based solutions for real-time monitoring and optimization of manufacturing processes. These solutions aim to assess process conditions during production
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experts in architecture and engineering, we have developed a tool called AIXD for AI-assisted forward and inverse design. Currently, we are developing a plugin to enable Virtual Reality (VR) exploration
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80%-100%, Zurich, fixed-term The Development Economics Group (DEC) at ETH Zurich is dedicated to empirical economics research that can inform more effective policies to reduce global poverty and
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develop and run the weather and climate model ICON. We are seeking a High Performance Computing (HPC) software engineer to further develop and optimize the ICON model (80-100%). Project background In order
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through the development of strategies for long-term data quality improvement and data curation, including persistent identifiers for organizations, researchers and funding Supporting the writing of reports
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We are seeking a highly motivated and interdisciplinary Postdoctoral Researcher to join our team in developing a cutting-edge nutrient prediction platform. This project integrates machine learning