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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
medical product review processes, analyze vast amounts of clinical trial data, and assess post-market surveillance data with greater precision. In parallel, AI is transforming drug discovery and development
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environment. This includes a HPC cluster with NVIDIA H100 nodes, parallel storage and fast interconnects, dedicated workstations with multiple A6000 GPUs, and web-based services via Microsoft Azure
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need to be enrolled in one of the EPFL doctoral school programs. This is a separate application process that you can start in parallel. We suggest that you apply to the Doctoral Program in Mechanics
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the Warsaw University of Technology/the Centre for Advanced Materials and Technologies, CEZAMAT | Poland | 9 days ago
. In parallel, the Group should support experimental activities throughout the project. From the WG3 leader, we expect activities leading to the organization of WG3 research, the acquisition
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templates and processes for scaling up the grant writing and fundraising support capabilities for multiple companies and/or BMDC in parallel. Develop a library of templates, awarded proposals and strategy
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. Clinical faculty have 9-month academic year appointments and are eligible for summer financial support for case coverage, special projects, and writing. They have governance rights that closely parallel
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algorithms and parallel/distributed variational algorithms in AI/ML for application workflows and large-scale HPC and QC systems Develop quantum machine learning (QML) algorithms for optimization of multi
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targeting large-scale computational resources that involves numerical methods, parallel algorithms, inter-process communication and synchronization, and at least one traditional high performance computing
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posts) [Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project - “Study on design and analysis of high-performance parallel manipulators
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with job schedulers, e.g. SLURM, PBS, SGE, etc. ● Experience working at an academic institution ● Experience with parallel codes and libraries (e.g. MPI, OpenMP, Cuda) ● Experience with research and/or