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Field
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to provide high-fidelity microclimate predictions at speeds that are much higher than physics-based numerical solvers. We are seeking a Master’s student with a background in Scientific Computing or AI
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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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, vector network analyzers, etc.) supporting bands up to 110 GHz. These capabilities complement a nearly $10M investment in secure computing infrastructure, housing expansive GPU and CPU clusters. Motivated
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of the upgraded Swiss Light Source synchrotron, as well as other facilities around the world. Profile We are looking for a person with: PhD in physics, engineering, computer science, or a related field. Strong
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, engineering, computer science, or a related field. Experience with inverse problems and 3D reconstruction methods for tomography, laminography, or a closely related modality. Strong scientific programming in
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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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, and earth system sciences. Collaborate with researchers to translate scientific challenges into scalable AI/ML and computational solutions. Deploy, optimize, and support AI/ML pipelines on HPC and GPU
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research. BOLD also has access to national compute resources (3M GPU hours on Isambard for the first 1.5 years) and we are working hard to get to 5000 H100 equivalent compute capacity in total across
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servers, additional H100 and H200 GPU servers, and large-scale storage. Compute capacity is continuously expanded to avoid bottlenecks. The position includes conference travel, collaboration with leading
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Requisition Id 16626 Overview: The Field Intelligence Operations Division invites candidates to apply to join the team as a Senior High Performance Computing (HPC) Engineer for Classified