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of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim or http://github.com
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-learning architectures for sequential data (e.g., Transformers, graph neural networks, state-space models). Experience with OpenCV, GPU-accelerated inference, Docker, and modern software engineering
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, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is seeking to appoint two highly motivated
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simulation, Cosserat rod theory to support hands-on class activities and development of NVIDIA GPU-based course modules. • Availability to schedule, coordinate, and oversee student visits to operating rooms
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or High-Performance Computing clusters for GPU-intensive tasks. Desired: Masters degree in computer science, Data Science, Digital Humanities, or a related field. The College of the Arts and Sciences
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substantial investments in on-premises GPU infrastructure that allows us to work with confidential partner data under full data control. The focus of the position is on research, aiming at publications in
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. Experience with high-performance computing, cloud computing, GPU acceleration, or distributed data processing. Experience participating in international scientific collaborations and/or multi-institutional
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or machine learning infrastructure, model deployment environments, or GPU-enabled systems. Familiarity with CI CD pipeline design and automation. Experience with hybrid infrastructure spanning on-premises and
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December 2026 (3 months). Where to apply Website https://www.uam.es/uam/investigacion/ofertas-empleo/contrato-conjuntajulio2026r… Requirements Research FieldComputer scienceEducation LevelBachelor Degree
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University of California, Los Angeles | Los Angeles, California | United States | about 11 hours ago
Nextflow or Snakemake, version control such as Git, and reproducible computational environments is preferred. Familiarity with GPU-accelerated genomics, high-performance computing, or cloud-based analysis