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stakeholders across key markets. Key responsibilities include: Media Relations & PR Content Distribution Build and maintain strong relationships with local and international journalists, editors, and media
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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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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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. 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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synergistically integrates different renewable energy sources such as solar photovoltaic generation, hydrogen production, and storage alternatives with microgrid-driven power distribution. Through advanced
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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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. 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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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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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