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Scaling, compression, and efficient training of multimodal and foundation models Self-supervised, contrastive, continual, curriculum, and lifelong learning Agentic foundation models, tool use, self
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machine learning Reinforcement learning, planning and sequential decision-making Scaling, compression, and efficient training of multimodal and foundation models Self-supervised, contrastive, continual
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will be given at the interview. We are committed to supporting work-life balance and welcome applications from candidates seeking compressed working arrangements. What’s in it for you? Permanent contract
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, patients, researchers, and community partners. For additional information and to hear directly from members of our team, please visit: https://facilities.med.wustl.edu/Careers. This role performs skilled
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. Assist with monitoring and maintaining the helium recovery system and manage the logistics of compressed gas cylinder swaps. Help maintain wet lab supplies and ensure clean and safe lab environments
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. The professorship of Big Geospatial Data Management concentrates on the methodology for the acquisition, or-ganization, compression, analysis, and visualization of georeferenced or geometric data on large scales. We
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of ultrafast lasers, including characterization techniques as well as post-compression using Herriott multi-pass cells Development, installation and characterization of laser-driven THz sources based on organic
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with hardware and software troubleshooting and repair. Stock and maintain designated areas in compliance with TJC. Maintain adequate compressed gas cylinder storage. Exchange gas cylinders for patients
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one polymer processing technique (extrusion / compounding, injection moulding, rotational moulding, compression moulding, or similar) including the ability to relate material properties and behaviour
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or receipt of mail/shipment as required. Uploads data to the central department database in the Distribution Center or hub. Maintains records of special non-purchase order material received, compressed