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100%, Zurich, fixed-term We invite applications for a PhD position in the field of AI-driven Traffic Control and Antifragility in Urban Mobility Systems. The successful candidate will join a dynamic
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an idea to impactful, tangible results. You must bring the following: you have a PhD degree or plan to complete one soon you are enthusiastic about pursuing an academic career you have skills and knowledge
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Personalized Health Technologies can be found on our website .Questions regarding the position should be directed to Eva Riegler, PhD, Group Leader Screening and Lab Automation, eva.riegler@nexus.ethz.ch
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for the position are expected to have a PhD in Chemistry, Material Science or Chemical Engineering. Experience in the fields of material synthesis as well as the physical and electrochemical characterization
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learning and data science domains. Our diverse and interdisciplinary environment offers the candidate the opportunity to engage in all types of research discussions, and advance in the methods and the
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soil COS, CO2, and H2O fluxes. Quantification of the leaf-scale uptake ratio of COS to CO2. Leaf-scale stomatal conductance measurements. Assessment of different methods to constrain GPP. Statistical
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to disseminate findings Profile Qualification PhD in mechanical engineering, biomedical engineering, materials science or closely related field Experience in microneedle fabrication (e.g., by 3D printing
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over 1'400 PhD students & post-docs. Our mission is to amplify human potential by fostering breakthrough ideas with interdisciplinary AI research and enabling the path from science to society. We strive
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Background: PhD or Master’s degree in security studies, international relations, or a related field. Analytical and Communication Skills: Exceptional analytical and conceptual abilities and a proven track
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100%, Zurich, fixed-term The Computational Mechanics of Building Materials in the Institute for Building Materials at ETH Zurich has an opening for a PhD student in modeling fracture in soft