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Number: F_250057 Department: College of Engineering-0907 Description of Work: The Smart Materials and Robotics Laboratory (https://smr.unl.edu/ ) in the Department of Mechanical and Materials Engineering
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mechanical engineering, or related field to apply. A strong publication record is encouraged and previous experience in areas such as Neural network vulnerabilities and defenses, Anomaly detection, Adversarial
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topological phases and hysteresis-driven memory mechanisms. You will work closely with experimental and theoretical physicists and material scientists at DTU Physics, DTU Energy as well as our collaborators
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Distinguished Postdoctoral Fellowship. The Fellow will be given the opportunity to pursue independent research in the general area of solid mechanics, as well as to contribute to ongoing research in the group
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economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique
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| Mechanical and Aerospace Engineering Conducts experimental research and development efforts as a Post Doctoral Scholar in the Energy Innovation Laboratory, Mechanical and Aerospace Engineering. The work
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To apply for this position, send a two-page CV to Prof. Xin TANG (tangx@sustech.edu.cn).Introduction of Lab of Interfacial and Micro FlowsResearch interests•Interfacial phenomena (liquid/solid interaction
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to lead a project related to the transport of bacteria in porous media and multiphase flow. A PhD degree in engineering or earth science is needed. 75% - Conduct laboratory experiments related
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to mechanical loads and use this information as inspiration for bio-inspired construction materials. Your duties and responsibilities include: Developing an experimental platform for growing mycelium on agar
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 14 days ago
A doctoral degree in neuroscience or a related STEM field Prior experience in systems neuroscience using animal models A solid foundation in quantitative data analysis and statistics Programming