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at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective bargaining and matters affecting your
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or GPU computing environments. Familiarity with version control, containerization, and reproducible-research tooling. Preferred Competencies Work independently and collaboratively within a
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website: https://www.esa.int/ Field(s) of activity/research for the traineeship Main objectives of the Research Fellowship Cognitive cloud computing in space (3CS) is emerging as a key paradigm for future
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, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure including LUMI, and the Aalto
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, monitoring, and deployment tasks to enhance system reliability and efficiency Advanced administration of Linux operating systems Knowledge of scientific software deployment, including MPI, GPU/accelerator
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for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure including LUMI
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, with close interaction with bioinformatics, microbial ecology and experimental crop research at the UU and NOAH partners. You will have access to Utrecht University GPU/HPC infrastructure and large
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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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department and its facilities can be found at https://aerospace.illinois.edu/ . Our faculty and students are affiliated with and have access to world-class computational and experimental facilities located in
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appointment to docent" which is available at https://www.bth.se/english/about-bth/work-at-bth/vacancies . Meriting competencies and experience In addition to the requirements described in the work description