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100%, Zurich, fixed-term We have an open PhD position at the intersection of machine learning, embedded intelligence and human–computer interaction. The project will explore how learning systems can
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Athletic Training and undergraduate courses in Allied Health Sciences and / or across various related disciplines paralleling the applicant’s expertise in the School of Health. Depending on candidate
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increasingly complex compute- and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms. The selected candidate will play an integral part in the group's
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applications. HPC and orchestration of scientific data processing workflows. Parallel computing (GPU & CPU). good software engineering practices for scientific software (version control, testing, continuous
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in basic control-flow analysis. Process mining, as it stands today, is primarily based on computational techniques and algorithms to analyze and optimize processes. Methods such as process discovery
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and organizational skills. Sound decision making skills. Working knowledge of personal computers. High level of independent thinking. Preferred Qualifications: Extensive customer service experience
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the Apollo application development and computing environment. We have coordinated several EU projects on distributed and parallel systems including the edutain@grid, AllScale and the ENTICE project. We
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large-scale parallel filesystems, high-speed InfiniBand/Ethernet fabrics, containerized workloads, and GPU-accelerated compute. Partnering closely with the Director and HPC Architect, the manager shapes
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of Computer Science. The research focus of our group is on parallel computing, supercomputing, and performance tuning and optimization of advanced applications. Our team currently consists of 10 scientific and 3
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days ago
to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging Large Language Models (LLMs) and clinical data analysis. About the Position Our Postdoctoral Research Program