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- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- UNIVERSIDAD POLITECNICA DE MADRID
- University of A Coruña
- Fundación IMDEA Nanociencia
- IMDEA Networks Institute
- Institute for bioengineering of Catalonia, IBEC
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
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- Centre de Recerca en Agrigenòmica
- Centro de Investigaciones sobre Desertificación (CIDE, CSIC-UV-GVA)
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer
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- Institut Català de Nanociència i Nanotecnologia
- Josep Carreras Leukaemia Research Institute (IJC)
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Candidates should demonstrate experience and/or knowledge in one or more of the following areas: Numerical modelling of materials and structures using the Finite Element Method (FEM). Simulation of damage and
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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new
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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new
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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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characterization of materials’ magnetic, electronic and structural properties. Experience in spectroscopy and microscopy is valuable Knowledge in programming (Python) and 3D modelling will be valuable Availability
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knowledge of English. Applications Your application should contain: • letter of motivation • curriculum vitae • transcripts of records from University/University College and copy of your degree • contact
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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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for admission to a PhD programme. Strong background in Computational Mechanics, Solid Mechanics and Numerical Methods. Knowledge of the Finite Element Method. Programming skills (Python & Fortran). Good written
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. If applicable, accreditation for the exceptional extension of the evaluable period for one of the reasons mentioned in Clause 2.e. of the Eligibility Criteria. The name of this document must be: "15