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oversight of the project, ensuring adherence to international research standards and ethical guidelines. Lead the design and development of computational simulation methodologies for testing orthopaedic
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 22 hours ago
-space correlation techniques # Development and implementation of modern theoretical approaches # Application of high-performance computing (HPC) in quantum chemistry and materials science Your profile
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | about 9 hours ago
scientific data, including large-scale omics datasets, within high-performance computing (HPC) environments. Learning Objectives: Under the guidance of a mentor, you will gain skills in and learn to: Develop
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Programming Systems R&D: Contribute to DOE goals of enabling performance‑portable high‑productivity languages (Python/Julia/Rust) and evaluate the emerging role these languages and frameworks within scientific
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performing transnational academic or industrial secondments across Europe. The position offers a highly international environment and a joint training program with leading research institutions. Where to apply
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project - “Research, design, and manufacture of high-performance, fast-customizable next-generation AI-driven golf balls”. Qualifications Applicants should have: (a) a recognised doctoral degree or
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Job Description Job Alerts Link Apply now Research Fellow (Power Electronics) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Electrical and Computer
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to visualize key performance indicators, patient volumes, and program outcomes for stakeholders. Develops dashboards for program operations and research. Designs and develops statistical analysis for research
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Agent platform to automate complex business processes and continuously optimise workflow systems to ensure system stability and efficiency; (c) develop high-quality, high-performance AI service backends
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undertake high-impact research at the interface of materials science, advanced imaging, and artificial intelligence, with a particular focus on developing automated approaches for analysing multi-modal