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to build a comprehensive database linking pharmaceutical production and global trade data to support work on data-driven policies for resilient market design. Project background This position consists
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cooperation Novo Nordisk, offering a unique opportunity to work at the intersection of academia and industry, leveraging cutting-edge technology to make a real-world impact in peptide drug discovery. Short
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sciences, climate and environment, energy and sustainability, physical and engineering sciences, and digital society. You will help them identify how to analyze or model their data to answer precise
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make a decision by August. The ideal start date would be in fall of 2025 (October - December), but this will also depend on how long the paperwork takes to complete. Please note that we exclusively
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create a meaningful impact. Our goal is to design, implement, and evaluate a cannabis-impaired driving detection and prevention system. Building upon previous studies that have been well-recognized
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of SIS (e.g., HPC systems engineers, data scientists, research software developers) and external collaborators. Profile a PhD or equivalent in Computational or Computer Science, Engineering, Physics, or a
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Department of Mechanical and Process Engineering/Intelligent Control Systems can be found on website . Questions regarding the position should be directed to Dr. Marianne Schmid Daners, marischm@ethz.ch
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on Facebook. If you have any questions regarding the application process, please feel free to contact us at makerspace@sph.ethz.ch . We would like to point out that the pre-selection is carried out by
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productivity and personal well-being. Regular group discussions, interdisciplinary collaborations, and a shared passion for research make this an inspiring environment for pursuing a PhD. chevron_right Working
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your schedule in a way that supports both productivity and personal well-being. Regular group discussions, interdisciplinary collaborations, and a shared passion for research make this an inspiring