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codes. You will have access to national and European supercomputers (Snellius, LUMI) and dedicated GPU hardware. Where to apply Website https://www.academictransfer.com/en/jobs/364617/phd-3d-radiation-in
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-CSIC and the STREAM research group at UCM, with access to GPU and high-performance computing resources and opportunities for international collaboration and research stays. Salary: approximately €1,655
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provide GPU computing for machine learning on Aalto's Triton high-performance computing cluster, alongside industry-standard circuit simulation tools (Cadence, Synopsys, etc.) on our own computing cluster
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on machine learning and networks, release the code in open access and actively participate in the international interpretability community. Where to apply Website https://seuelectronica.upc.edu/en/procedures
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and HPC/GPU systems, with version control (git) and reproducible workflows (conda or containers, Snakemake or Nextflow).•Able to work independently as well as within an interdisciplinary, international
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, or GPU programming is an asset LanguagesFRENCHLevelGood LanguagesENGLISHLevelGood Research FieldEngineering » Electronic engineering Additional Information Selection process Applications must be sent
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candidates hold a Master’s degree in Informatics, Mathematics, or a related field, and possess strong expertise in linear algebra, GPU architectures, and programming in C++ and Python. This is a 100% TVL E13
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, IEEE IV and RadarConf. For your research, you will have access to extensive computing resources at TU Delft, ranging from personal workstations and shared GPU servers to the Delft AI Cluster and the
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architectures and embedded platforms (ARM Cortex-M, NPU, FPGA, embedded GPU), e.g., via academic courses and/or project courses Research experience (e.g., through a Master thesis work or research internships) is
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Website https://job-boards.eu.greenhouse.io/constructorknowledgelabs/jobs/4976717101 Requirements Research FieldComputer scienceEducation LevelMaster Degree or equivalent Skills/Qualifications Required