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documented experience in computer vision, where the PhD project was fully or substantially method-focused on computer vision and/or AI-based image or video analysis have very strong knowledge of machine
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. Demonstrated ability to develop and conduct high-quality research. Teaching ability. Solid knowledge of metabolism and immunology. Strong expertise in bioinformatic data analysis: high-throughput data analysis
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data analysis (sensor integration, data acquisition, signal processing, and indicators based on vehicle–bridge interaction), as well as structural validation in real-world environments through comparison
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. The postdoc will participate in field-based studies on climate-sensitive forest sites, contributing to the collection and analysis of ecological, management, and regeneration data. These empirical activities
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-based analysis of structures - Experience with Monte Carlo simulation, FORM/SORM, or similar methods - Ability to work with experimental, monitoring, or inspection data for model updating and uncertainty
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mathematics, optimisation, biomathematics, statistics, and data science with strong connections to engineering, natural sciences, and industry. About the research project We will recruit one postdoc in applied
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quantitative and semi-quantitative chemical analysis in relevant case studies; (iv) apply the framework using results from the case studies and existing monitoring data and evaluate the effectiveness; (v
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, Norrbotten 971 87, Sweden Subject Areas: Geometric Analysis; Mathematical General Relativity; Differential Geometry Appl Deadline: 2026/01/31 11:59PM (posted 2026/01/12, listed until 2026/01/31) Position
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Physicochemical and spectroscopic characterization of substrate performance, including sensitivity, reproducibility, stability, and matrix effects Quantitative analysis of spectroscopic data using multivariate
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collaborative research environment to analyze unique spatial data in an innovative manner. You will develop and perform cutting-edge bioinformatic analysis integrating different multiplexed spatial data, and gain