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22 Aug 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Economics » Administrative sciences Economics » Marketing Researcher Profile First Stage
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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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such as TensorFlow, PyTorch, or JAX is a must and experience with GPU-based experimentation and cluster computing (e.g., Docker, Slurm) a plus. In addition to the above, there is also a mandatory
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). The applicant’s experience must be related to the tasks to be conducted, to the job description herein or to: · Training of multimodal models based on deep learning and GPU computing. · Evaluation and deployment
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Field Computer science Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application Deadline 31 Jul 2026 - 00:00 (Europe/Madrid) Country Spain Type of Contract Temporary Job
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
management, or storage integration * Databases, data platforms, distributed systems, GPU-enabled computing, or MLOps workflows * Experience providing technical leadership, mentoring developers, or owning major
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, mathematical sciences, physical sciences, and interdisciplinary research areas. Research computing needs vary significantly across these areas, including CPU-intensive workflows, GPU and AI/ML workloads, data
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dedicated GPU-equipped computing workstation and data-storage resources; - access to molecular-modeling and chemoinformatics software; - resources for the acquisition and experimental evaluation
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practices and international standards. Leverage VIB Data Core services, including high-performance computing pipelines and large-scale GPU resources, to scale ML development and deployment. Your profile PhD