MSCA-PF 2026 Hosting Opportunity in Advanced data analysis and integration methods for environmental and omics research

Descrizione

MSCA-PF 2026 Hosting Opportunity in Advanced data analysis and integration methods for environmental and omics research Sintesi in italiano (traduzione automatica): L'Istituto di Valutazione Ambientale e Ricerca sull'Acqua (IDAEA-CSIC) è alla ricerca di un candidato postdoc per partecipare alla call 2026 delle Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowships. Il ruolo prevede lo sviluppo e/o l'applicazione di metodi avanzati di analisi dei dati e chimometria per affrontare questioni di ricerca nelle scienze ambientali e omiche. Le principali aree di ricerca includono nuove metodologie per la Risoluzione Multivariata delle Curve, l'analisi in tempo reale dei dati ambientali e approcci basati su AI spiegabile. È richiesta una laurea di dottorato in un campo pertinente, come scienze ambientali, chimica o ingegneria. I candidati sono incoraggiati a proporre idee di ricerca originali che si integrino con l'expertise del gruppo ospitante. The Institute of Environmental Assessment and Water Research (IDAEA-CSIC) is seeking a postdoctoral candidate to apply for the Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowships 2026 call. The proposed research should focus on the development and/or application of advanced chemometric, data analysis, and computational methods to address research questions in environmental and omics sciences. Potential research directions include, but are not limited to: New methodologies and algorithms for Multivariate Curve Resolution (MCR), including new constraints, optimization strategies, uncertainty assessment, and extensions to complex datasets. Explainable AI for chemical and environmental data, including XAI-based variable selection and feature identification. Real-time analysis of environmental sensor and analytical data streams, including adaptive data analysis, anomaly detection, and data-driven approaches for environmental digital twins. Advanced data analysis and integration methods for bulk and spatial multi-omics, including spatial pattern discovery and integration of complementary molecular layers. Data-driven approaches to environmental and omics research, including complex mixtures, pollution sources, environmental processes, and biological responses to environmental stressors. These research directions are intended to provide a broad scientific and methodological framework rather than define a predetermined project. Applicants are encouraged to propose original research ideas that complement and expand the expertise of the host group. The final MSCA-PF proposal will be co-developed with the selected candidate to define an ambitious, innovative, and feasible research project with a strong methodological component and clear environmental or omics applications. Annuncio in inglese. Fonte: Euraxess (Commissione europea).