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machine learning models at a world-class high-performance computing facility The candidate will have access to state-of-the-art computing resources, including: NVIDIA DGX-2 Systems: Powerful platforms
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Documented expertise in developing and training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | about 10 hours ago
-messenger astrophysics. Our offer The researchers in the "Computational Relativistic Astrophysics" division can use high-performance computers at Max Planck Computing and Data Facility (MPCDF: https
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of Cryptography, Computer security or any related field. Strong publication record in high impact conferences / journals. Very good programming skills (e.g., C, C++, Python), familiarity with Linux Proficiency in
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) , High Energy Physics , High Energy Theory , Lattice QCD , Nuclear Theory , Nuclear Theory (nucl-th) , Nuclear Theory-QCD , Particle Theory , QCD , Quantum Computing , Quantum Field Theory , Theoretical
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 6 days ago
Infrastructure? No Offer Description IT4Innovations National Supercomputing Center is a leading research, development, and innovation centre active in the fields of High-Performance Computing (HPC), Data Analytics
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thermosetting polymer formulations for the space sector. - Develop thermosetting polymer formulations for the production of composites with a high carbon content. -Perform physico-chemical characterisation
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, including full access to various supercomputers and massive data storage systems (see here for further details https://uits.iu.edu/services/technology-for-research/high-performance-computing-and-storage
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package development and maintenance in R; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal inference and statistics; computer
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Deadline 20 Nov 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 10 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded