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Field
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local research software engineer for your research group(s) and improve the use of computing among all group members. Stay up to date with the latest HPC, AI, and general computing/data management
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developing or applying parallel algorithms and scalable workflows for HPC resources. Experience developing or applying privacy-enhancing technologies such as federated learning, differential privacy, and
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inception in 2015. The Theory and Simulation Group participates in HANAMI (HPC Alliance for Applications and Supercomputing Innovation: the Europe - Japan collaboration). HANAMI is three-year-long
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Implementation of scalable numerical algorithms on HPC architectures Excellent written and verbal communication and interpersonal skills. The ability to obtain and maintain a DOE Security Clearance Special
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machine learning software tools and frameworks Implementation of scalable numerical algorithms on HPC architectures Excellent written and verbal communication and interpersonal skills. The ability to obtain
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address these in the cover letter): Machine Learning, Computational Simulations (e.g., CFD, FEA, etc.), domain expertise in Engineering problems, familiarity with High-Performance Computing (HPC
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papers, present results within the lab and at conferences, and help mentor students. Use and maintain lab resources on HPC and Github. Tools you will use daily include Python and R, version control (Git
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purification and cryo-EM • Facilities: Glacios 200 kV Cryo-TEM, Phoenix HPC, Bragg Crystallography, Adelaide Proteomics Centre, plus 300 kV Titan Krios & Helios 5 UX cryo-FIBSEM via Monash Epigenetics & Genomics
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/kinematics; HNN or neural‑mass/spiking models; HPC. * Excellent scientific writing and communication in English. French is not required. Website for additional job details https://emploi.cnrs.fr/Offres/CDD
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computing and high-performance computing (HPC) environments. Interest in entrepreneurship, technology transfer, and translational research, particularly in AI-driven drug discovery and biotech startups