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, spectral matching against databases (e.g., Metlin, KNAPSAcK), and statistical modeling for biomarker discovery. Integration and Interpretation: Correlate metabolomics data with biological and geographical
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contribute to the design and development of Machine Vision approaches for the quantitative analysis and phenotyping of agricultural systems: Training/Development of computational models for the quantitative
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Cartographic Heritage to model the impact of land changes on the hydrological and river systems in Europe The main goal of this proposal is to develop strong research and analysis skills of a PhD student
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code (399_CRI_MAI T4 temporary artificial intelligence) in the subject of the message and must consist of: the application form (Annex A), as per the model available on the webpage announcement, which
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. Knowledge of, or availability to learn, current database programmes and basic digital tools and programmes for graphic design and 3D modelling. Specific Requirements Researchers must not have resided
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the design and testing of a prototype, this project will offer a robust theoretical and practical model for museums to address difficult pasts more effectively and resonantly in the digital age. This PhD
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will be checked against the defined admissibility and eligibility criteria (e.g. submitted electronically, readable, complete, in English, including grades and references), and applicants will be