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to education environments. One such innovation is Terracotta (https://terracotta.education ), a plugin to the learning management system that makes it easy to conduct experimental research studies in real course
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candidates for a Postdoctoral Fellow position. This position is available to individuals with research interests in neuromorphic computing, IC design, embedded systems, or AI. Successful candidates will hold a
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, systems, and robotics. Contribute to open-source codebases and reproducible research practices. Job Requirements: A completed PhD in Computer Science, Electrical Engineering, Robotics, Artificial
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
the Norwegian educational system The purpose of the fellowship is research training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All
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countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses
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educational system The purpose of the fellowship is research training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates
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for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows
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of the fellowship is research training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a
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outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade
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that drive symmetry breaking, self-organization, and cell fate specification, many of which exhibit hallmarks of active matter. This PhD project aims to develop theoretical and computational active-matter