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these challenges by using piezo-electric and/or optical fiber based sensor system, combined with physics informed data analysis method, exploiting the digital twin model developed by the first PhD project. In
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approaches. Experience with tabular foundation models or foundation models for structured data is particularly relevant to this position. Key qualifications include: Strong research experience in deep learning
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PhD candidate to develop the modeling and signal analysis methods that turn nanobubble ultrasound imaging into a quantitative diagnostic tool. You will work with imaging data acquired from lab-grown
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9 Sep 2026 Job Information Organisation/Company International PhD Programme (IPP) Mainz Department Institute of Molecular Biology Research Field Mathematics » Statistics Biological sciences
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14 Sep 2026 Job Information Organisation/Company University of Oslo Research Field Medical sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 28 Sep
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they are doing, how they are responding to the robot, whether they intend to interact, and how these behaviours are likely to change over time. This PhD project will explore human-centred multimodal world models
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21 Sep 2026 Job Information Organisation/Company International PhD Programme (IPP) Mainz Department Institute of Molecular Biology Research Field Biological sciences Researcher Profile First Stage
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25 Sep 2026 Job Information Organisation/Company INSERM Department U1065 Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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methods including single-cell omics, iPSC-derived neural models and computational modelling. What We Offer A 4-year, fully funded PhD position (FPI grant) An on-site position at IDIBELL/UB, working within a
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are not fully integrated into the exploration of subsurface exploration workflows due to data resolution limitations and challenges in modeling. This knowledge gap limits our understanding of resource