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-driven/model-based AI methods to analyse time series of clinical data coming from sensors, enriched by the possible trajectories of relevant human patho-physiology models of interest for: Phenotype
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a strong background in computational modeling, optimization, and systems engineering, eager to develop advanced design and simulation frameworks for battery pack topology and e-powertrain integration
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4 Dec 2025 Job Information Organisation/Company University of Bergen Department Geophysical Institute Research Field Engineering Computer science Mathematics Physics Researcher Profile Recognised
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11 Dec 2025 Job Information Organisation/Company University of Basel Research Field Engineering » Electrical engineering Engineering » Other Physics » Condensed matter properties Physics » Optics
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Do you have passion for sustainable design and development of new materials by combining experiments and modeling? We are looking for motivated candidates for three PhD positions in AI-STEEL Project
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the research group of Knowledge-based engineering and knowledge-driven systems at the department; Participate in international activities such as conferences and research stays at foreign educational
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activities will be oriented at developing hybrid data-driven/model-based AI methods to analyse time series of clinical data coming from sensors, enriched by the possible trajectories of relevant human patho
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of Prof. Tomasz Smoleński at the Department of Physics, University of Basel, Switzerland (https://smolenski-lab.com ), is looking for a highly-motivated and self-driven PhD candidate. The group utilizes
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and 5.0. System engineering and socio-technical systems AI-supported adaptive continuous learning Industrial cybersecurity, supply chain security Semantic modelling of industrial artefacts, knowledge
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; Industry 4.0 and 5.0. System engineering and socio-technical systems AI-supported adaptive continuous learning Industrial cybersecurity, supply chain security Semantic modelling of industrial artefacts