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temporal and spatial controlled drug release systems through stimuli-responsive materials. These tasks are part of a larger Empa's initiative, called Wound Booster , involving several PhD students working
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protocols. Proficiency in mathematical modelling, data analysis, and programming (Python, R, etc.). Experience with blockchain technologies and smart contracts is a plus. Excellent analytical, problem-solving
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. Empa is a research institution of the ETH Domain. Our Centre for X-ray Analytics developsX-ray analytical and imaging methods for understanding materials structure in material, life- and medical sciences
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work closely with another PhD student and a post-doc to collectively investigate the failure mechanisms and the generation of high-quality sensor data. Your profile MSc in Materials Science or Mechanical
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working with/developing computational models or urban data analytics. Knowledge of building energy modelling and/or urban building energy modelling (preferably with experience in City Energy Analyst
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at international conferences Your profile MSc in Materials science, Chemical engineering or related disciplines Solid background and interest in organic chemistry Strong analytical skills for materials and data
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computational models or urban data analytics. Knowledge of building energy modelling and/or urban building energy modelling (preferably with experience in City Energy Analyst or similar tools) Initial experience
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100%, Zurich, fixed-term The Supply Chain Management Group (Prof. Dr. Stephan M. Wagner) at the Department of Management, Technology, and Economics at ETH Zurich invites applications for a PhD