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- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- ICN2
- Institut de Recerca Biomèdica de Lleida, Fundació Dr. Pifarré (IRBLleida)
- Institute for bioengineering of Catalonia, IBEC
- Institute of Photonic Sciences
- Universitat de Barcelona
- Centre for Genomic Regulation
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- Computer Vision Center
- Forest Science and Technology Centre of Catalonia
- Fundacion IMDEA Energia
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- Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA)
- Institute of Chemical Research of Catalonia ICIQ
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- Josep Carreras Leukaemia Research Institute (IJC)
- Maimonides Biomedical Research Institute of Cordoba - IMIBIC
- UNIOVI
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- Universitat Autònoma de Barcelona
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- Universitat de les Illes Balears
- University of Deusto
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Field
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analysis, and data visualization. Apply advanced statistical, machine learning and AI methods when appropriate. Review analysis outputs and ensure methodological consistency and quality. Collaborate with
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areas of nanoscience and nanotechnology. Job Title: Junior Postdoc-Electrocatalysis; in situ electron microscopy characterization; deep learning frameworks for TEM image analysis Department: Advanced
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characterisation tools (Raman, AFM, SEM, TGA, DLS, spectrophotometry, electron microscopy, HPLC, XPS) Good understanding of scientific data plotting and statistical data analysis IT tools (Origin Pro, Graph Pad
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and technology to industry and society. Computer vision is one of the most dynamic areas of artificial intelligence, enabling machines to understand and interpret the visual world. At CVC, we combine
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the field of the airway. Management, analysis and interpretation of clinical and research data, including the application of bioinformatics and statistical analysis techniques. Coordination and monitoring
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funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description Latent Class Analysis para el análisis del
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, including water, CO₂ and nitrate electrolysis, with a particular focus on improving experimental workflows and enabling reliable, high-throughput data generation and analysis. Project PID2025-172289OB-I00
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translational, combining molecular analysis of human biological samples from clinically characterized cohorts with the possibility of integrating extracellular-vesicle profiling, non-coding RNA analysis and other
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laboratory experimentation with advanced characterization techniques and data analysis to study water-rock interactions, crystallization processes and metal immobilization. Main responsibilities include
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analysis, and validation in coin- and pouch-cell prototypes. The requirements are as follows: Tasks Description: Formulate and screen electrolyte systems (solvents, lithium salts, and additives) compatible