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Field
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insight provided by the experimenter, using methods such as Proper Orthogonal Decomposition (POD) [8], spectral analysis, or Dynamic Mode Decomposition (DMD) [9]—which are currently being implemented in
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We are looking for a highly motivated PhD candidate interested in AI-based methods, including machine learning and language technologies, for the integration and analysis of clinical, advanced data
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Systems (GIS) and large-scale spatial and environmental pattern analysis. They will also be responsible for participating in soil sampling teams and in the design of large-scale monitoring networks. With
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multiple lines of treatment for more than 1000 patients have been collected. Multiple samples derived datasets have and are being generated, including genomic DNA analysis, serum proteomics, peripheral blood
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quantitative and population genetics; good knowledge and practical skills in genetic and genomic analysis (both, marker data and sequence data), phenology and plant pathology; a sound understanding of
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(written/spoken) at A1 level 2) Technical Skills - Strong technical proficiency - Hands-on experience with NMR spectroscopy techniques - Proficiency in statistical analysis - Knowledge of and compliance with
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biomaterials, (9) Data-driven materials development, and (10) Advanced materials analysis technology. R26-01 Materials Science R26-02 Materials Science (for women) - Researcher [Field specified]: one position
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International Relations Purpose of the activity : To support the information and communication activities carried out by the Europe Direct Beira Interior Center, specifically through the monitoring and analysis
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and morphological analysis, contextual and site analysis, and an understanding of construction methods, materials, adaptations and long-term transformations Strong skills in architectural drawing and
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, REddyProc) Excellent numeric and analytical problem-solving skills, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with