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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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the selection of further reactions to run, and their application to targets of medicinal interest. Job description As a PhD student in our growing team, you will develop machine learning methods to predict
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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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participate in the experiments, advise/guide for long-term knowhow transfer Publish the results in peer-reviewed journals and present at international conferences Your profile PhD degree in Physics or a related
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of fundamental and disease-focused areas. To advance these efforts, the Platt group is recruiting a full-time (100%) PhD Student to develop and apply methods at the intersection of gene editing
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at international conferences and within collaborative networks Profile PhD in Computer Science, Bioinformatics, Biomedical Engineering, Applied Mathematics, or a related field Proven expertise in image analysis (e.g
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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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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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%) PhD student in Adapting and Strengthening End-of-Life Steel sections for Reuse through Wire Arc Additive Manufacturing. The position is available with a flexible start date, as soon as possible starting