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Field
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. The project will focus on automated distributional shift detection and monitoring, invariant and distributionally robust representation learning algorithms, and deployment-time calibration with uncertainty
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distribution, and smart-grid applications. The Research Fellow will contribute to project execution, research proposal preparation, industry collaboration, and the dissemination of research outcomes through
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2nd August 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in Algorithms and Extremal Combinatorics Apply for this job See advertisement UiB - Knowledge that shapes society
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interfaces to share intermediate data for distributed training and processing, generating large traffic flows. Low and deterministic latency will be required for specific application in data centre for AI
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to design and implement the core algorithms and software architectures that power our multi-agent systems. At the George H.W. Bush Combat Development Complex (BCDC), the Research Engineer for Multi-Agent
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at the leading edge of scientific discovery and will therefore require methodological work, algorithm development, and technical developments. The ideal candidate will be proficient in R and/or Python, have strong
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development and be an attractive and inclusive place to study and work. PhD position There is a vacancy for a PhD Research Fellow in Algorithms at the Department of Informatics . The position is for a fixed
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. Assisting in the research and implementation of AI agent-based approaches for automated ontology alignment and semantic integration across distributed systems. Participating in the design and validation
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School of Public Health studies the frequency, distribution, and determinants of disease in humans, a fundamental science of public health. In addition to pursuing ground-breaking global research
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
this context, the offer is about continual audiovisual robot perception, and aims to develop methods and algorithms to continuously extract cues about human behaviour from audio and visual data in real-world