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Field
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, and maintaining automated data pipelines for large-scale time-series or imaging datasets. Experience with HPC/cluster computing environments, including SLURM job scheduling and GPU-accelerated
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a weekly basis. Required Qualifications • Degree in a relevant area such as computer science, information technology, or significant relevant IT experience. • Experience with containerization
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, software engineering, computational systems, or related fields Develop novel methods, models, and technologies that address emerging challenges with respect to AI relevant to our sponsor base Communicate
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, virtualisation technologies and performance optimisation. Hardware acceleration technologies and modern compute architectures, including GPUs and high-performance networking technologies. Programming and scripting
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, and maintaining automated data pipelines for large-scale time-series or imaging datasets. Experience with HPC/cluster computing environments, including SLURM job scheduling and GPU-accelerated
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parallel programming and/or high-performance computing, particularly on GPU or FPGA architectures; Knowledge of compression techniques, including predictive coding, filter banks, transforms, and statistical
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of environmental factors of 60,000 subjects across multiple time points. Our research laboratory has great computing capacity, including multiple H100 and A100 GPU systems for deep learning, and computing clusters
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7 Jul 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Programming Computer science » Other Researcher Profile Recognised Researcher (R2
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23 Jul 2026 Job Information Organisation/Company Toyota Technological Institute Research Field Technology Information science Engineering Computer science Researcher Profile Recognised Researcher
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programs (through both independent learning as well as through program mentors) · Participation in weekly program meetings and periodic sponsor meetings (requiring oral and/or written updates) · Thorough