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Employer
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- UNIVERSIDAD POLITECNICA DE MADRID
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of A Coruña
- Institute for bioengineering of Catalonia, IBEC
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- IBIMA Plataforma BIONAND
- Institut Català de Nanociència i Nanotecnologia
- University of Cantabria
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Field
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. Desirable: Working knowledge of Spanish and/or Catalan, useful for day-to-day integration at Vall d’Hebron University Hospital Authorship of scientific publications. Experience and knowledge: Required
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culture and general molecular biology techniques. Candidates must have a strong commitment to scientific research and an excellent academic record. Candidates must have a good working knowledge of English
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follow specialized training programs (e.g. ARENA). Specific Requirements Knowledge: Linear algebra, probability and statistics. Graph theory and algorithms on graphs. Machine learning and deep learning
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processes. • Apply machine learning techniques and advanced statistical analysis to extract knowledge from complex datasets. • Participate in the evaluation and optimisation of high-performance scientific
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of the acquired knowledge to develop manufacturing guidelines for organic solar cells with high long-term stability using high-performance polymers and non-fullerene acceptors (NFAs) (Task 3.3). JUSTIFICATION
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or currently enrolled doctoral candidate at the time of application (0.5 points). - Demonstrable knowledge of databases and basic statistical analysis (0.5 points). - Authorship of papers presented
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or signal processing and interpretation will be a plus. Previous knowledge on biomedical signal processing and data analysis. High level of English. Candidates should be ready to enter an official
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and master's degree. Fluency in Spanish and English (advanced level). Experience and knowledge: Desirable: Knowledge of epigenetic regulatory mechanisms, including chromatin remodelling, histone
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Requirements Research FieldEngineeringEducation LevelPhD or equivalent Skills/Qualifications Technical Background: PhD in aeroacoustics for wind turbines. Required knowledge: Computational Fluid Dynamics
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, in order to promote effective technology and knowledge transfer. Where to apply E-mail [email protected] Requirements Research FieldEngineeringEducation LevelBachelor Degree or equivalent