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, Python, CUDA o Open CL) -Manejo de sistema operativo Linux • Proficiency with mathematical software tools such as MATLAB • Strong programming skills (proven experience with programming languages such as
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engineering Very strong mathematical and algorithmic background Programming experience (Python, C++, etc.) Familiarity with parallel programming frameworks (e.g. MPI, CUDA) Fluent in written and spoken English
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, including benchmarking and validation Publication of results in journals and conferences Where to apply Website https://apply.refline.ch/673278/3832/1m.u7qjgjKjzKmrHRvMb9SUuweUMUm96yz1qOEhI4Z… Requirements
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cover letter describing research interests, a current curriculum vitae, and contact information for three references – https://unmc.peopleadmin.com/postings/95260 . Required Qualifications Ph.D
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 8 days ago
operates the first Czech quantum computer named VLQ. https://www.it4i.cz/ Activity description: · research and development of methods for acceleration of parallel applications in the High Performance
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commonly used on Unix systems. Additional languages or experience with libraries for utilizing GPU hardware efficiently, e.g., CUDA, are a plus. Experience in AI programming with, e.g., PyTorch(-DDP
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 7 days ago
operates the first Czech quantum computer named VLQ. https://www.it4i.cz/ Activity description: development of methods for acceleration of parallel applications in the High Performance Computing (HPC
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the AliceVision library. Activity 3: Critical Code Optimization (C++/CUDA) - Adapt the code to drastically reduce computation times (target: < 1h). - Replace proprietary dependencies (InstantNGP) with a flexible
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staff to carry out activities related to research lines or scientific-technical services Ref. Interna M2832-7528 PID2021-122392OB-I00 Call for selection of research asistants https://sede.urjc.es/tablon
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representations. Experience scaling model training/inference on GPUs; familiarity with CUDA-adjacent performance considerations, distributed training, or workflow orchestration. Compensation, Benefits and Position