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intelligence. Trustworthy AI for 3D inspection – applying AI to point clouds and meshes for defect detection. Additional research topics, combined with the bullets above, can be based on the applicant’s
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inspection – applying AI to point clouds and meshes for defect detection. Additional research topics, combined with the bullets above, can be based on the applicant’s background and research interests
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(QFT). Applicants with a background in either QIS or QFT are welcome. Our group has access to cloud-based quantum computing resources through IBM and AWS, and an IBM quantum computer is expected to be
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or pathway inference tools Experience working in high-performance computing or cloud environments Interest in developing novel computational or statistical methods for muscle biology Enthusiasm for open
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high-performance computing or cloud environments Interest in developing novel computational or statistical methods for muscle biology Enthusiasm for open science — sharing code, data and reproducible
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frameworks and pipelines Familiarity with single-cell multi-omic data integration and network or pathway inference tools Experience working in high-performance computing or cloud environments Interest in
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amorphous ice matrices, evolve from molecular clouds through star-forming regions to planetary systems. Laboratory simulations under astrophysically relevant conditions will provide key insights
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. Science 352, 208–212 (2016). In ICE-EEVOLVE, we seek to unravel how chiral organic molecules, trapped in amorphous ice matrices, evolve from molecular clouds through star-forming regions to planetary
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and networking. Who we are looking for We are looking for a postdoctoral researcher with demonstrated skills and experience in: The fields of star-forming molecular clouds, multi-scale structure
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular