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to adapt to multidisciplinary environments and a focus on professional growth and development. Desirable requirements Good knowledge of quantitative methods (econometric models, time series econometric and
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. Profile: Postgraduate training in the field of regional and local development, territorial development policies, and environmentaland sustainability economics. Experience with input-output methodologies and
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to work well independently as well as part of a team and the ability to manage the day-to-day running of a research project. The applicant will be involved in the supervision of PhD and master students
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escrita en español e inglés - Experience in analysing traffic accident data and road safety - Advanced knowledge of spatial analysis and Geographic Information Systems (GIS). - Proficiency in statistical
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from physical constraints and evolutionary pressures, across multiple scales — from proteins to regulatory networks. The group combines principles from statistical physics, systems biology, and
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relating to the qualification that are in a language other than those with official status in the Valencia Region must be accompanied by a sworn translation; otherwise, the applicant may be excluded from
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positively valued: programming languages (Python, JavaScript), data analysis software techniques and tools, machine/deep learning (Pandas, SHAP , TensorFlow, etc.) and specific to image analysis, statistics
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prioritized set of epigenetically regulated immune modulators -identified through multi-regional methylation profiling of endometrial tumors- and their mechanistic contribution to tumor-immune interactions
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part of an international network of 13 research labs located throughout Europe who work on the EU funded HUM.AI.N-ACCENT project. The full consortium count with a total of 24 academic and non-academic
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foods. Develop food prototypes of dry-cured meat and their plant-based analogues with optimized texture and sensory properties. Perform advanced statistical analysis, mathematical modeling, and interpret