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) infrastructure of New York State’s Empire AI enabling us to train large AI models that will outperform traditional numerical prediction models. Duties: ● Design, train, and evaluate novel AI/ML models. Develop
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capabilities interact with operational conditions, human intervention and the wider maritime and port logistics systems. The postdoctoral researcher will develop data-driven and model-based approaches to support
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logic. Work with the equipment designers to define control, sensing, and safety requirements for the arc melting, rolling, and testing stations while they are being built. Develop the software layer
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Estimated date of the contest settlement: November 2026 Envisaged job starting date: December 2026 Period of employment: fixed-term, 12 months Salary: 140 000 PLN/year The competition is open to each
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at the intersection of advanced microscopy, atom probe tomography (APT), artificial intelligence and materials science. Working with world-class characterisation facilities, they will develop quantitative and AI
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of experimental cellular therapies for diabetes using mouse models; this will include genotyping (PCR), drug preparation and delivery and dissection of mice upon trial completion; play a role in trial evaluation
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collection, data storage, algorithms, and AI learning principles that allow components of a distributed AI system to be trained collaboratively to dynamically better cooperate toward a unified production
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framework of a European Innovation Council project (EIC-Pathfinder Open HeartVision). The position is offered at the Dynamic Optical Systems Lab at Universitat de Barcelona- The project aims to develop
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Position Description As the preeminent educational institution in the world focused on work, employment and labor, the School of Industrial and Labor Relations (ILR) generates and shares knowledge
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 1 day ago
-specified intermediate representation for code analysis Design and build an incremental code search engine for large repositories on top of TSQ and HyperAST Develop incremental use-def / def-use relation