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), transformers, etc. Experiencia entrenando modelos en GPUs. Control de versiones con Git. Manejo de aplicaciones ofimáticas (ver apartado de requisitos específicos). \\ Working knowledge in convolutional neural
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(AWS, Azure/GCP) Experience in open source software development. Knowledge of GPU-based computing, including multi-gpu/multi-node parallelization techniques will be valued. Fluency in spoken and written
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together more than 400 researchers across disciplines. The collaboration provides access to substantial computational resources (GPU nodes), advanced high-throughput instruments (including a FACS, mass
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within DNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics and advanced microscopy. Your competencies Documented experience with large scale microbial
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within DNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics and advanced microscopy. Your competencies Documented experience with large scale microbial
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small cluster computers, high-end GPU nodes and specially configured workstations on which experiments are conducted. You will be working in a team of junior and senior system administrators. Naturally
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equipment such as small cluster computers, high-end GPU nodes and specially configured workstations on which experiments are conducted. You will be working in a team of junior and senior system administrators
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International Institute of Molecular and Cell Biology in Warsaw - IIMCB | Poland | about 1 month ago
. Mass Data Storage: 2.5 PB of networked storage, plus an additional 150 TB high-speed SSD storage for fast data access. GPU Supercomputing: A GPU server with 8 × NVIDIA RTX A5000 GPUs and 1 TB RAM
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. Experience managing GPU clusters for AI/ML jobs (e.g. NVIDIA, AMD). Experience with virtualization tools, containers, and/or orchestration (Docker, Apptainer, Kubernetes). Experience processing, managing
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one of the most advanced computing infrastructures of any academic healthcare system in the world, with 264 graphics processing units (GPUs) and 168 GPUs in the cloud. In July 2025, Mayo Clinic