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managing environments in AWS/Azure or High-Performance Computing clusters for GPU-intensive tasks. Desired: Master’s degree in computer science, Data Science, Digital Humanities, or a related field
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biology. Please include a cover letter with your application detailing your qualifications and experience for this position. Describe a deep learning project you have executed. Projects in computer vision
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, industrial), HCI, Computer Science, or a related field. Experience in interaction design or user interface design experience. Experience creating wireframes, prototypes, or interactive concepts for digital
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1 Apr 2026 Job Information Organisation/Company La Rochelle Université Research Field Computer science Environmental science Computer science » Modelling tools Computer science » Programming
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configuring and managing environments in AWS/Azure or High-Performance Computing clusters for GPU-intensive tasks. Desired: Master’s degree in computer science, Data Science, Digital Humanities, or a related
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languages; experience with GPU programming (e.g., CUDA) is highly desirable. Background in optimization, image-guided radiotherapy, medical imaging, or computational modeling. Experience with treatment
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seeking a Senior Analyst specializing in artificial intelligence and data analytics to support researchers across a wide range of disciplines in the effective use of advanced computing and machine learning
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Requisition Id 16217 Overview: The Multiscale Biomedical Systems Group within the Advanced Computing in Health (ACH) section of the Computational Sciences and Engineering Division (CSED) at Oak
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of predicting electronic, structural, and thermal quantities while leveraging underlying symmetries for computational efficiency. There will be a significant computational component in deploying multi-GPU codes
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 18 days ago
deployment, · knowledge of GPU computing and large-scale training, · experience working in an HPC environment, · experience with data annotation pipelines or synthetic data generation. We offer: · work in a