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- ICN2
- UNIVERSIDAD POLITECNICA DE MADRID
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of A Coruña
- Fundación IMDEA Nanociencia
- IMDEA Networks Institute
- Institute for bioengineering of Catalonia, IBEC
- AMADE research group
- Centre Internacional de Mètodes Numèrics en la Enginyeria
- 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
- Fundación Investigación Biomédica del Hospital de la Princesa
- IBIMA Plataforma BIONAND
- IDAEA-CSIC
- Institut Català de Nanociència i Nanotecnologia
- Josep Carreras Leukaemia Research Institute (IJC)
- Universidad Autónoma de Madrid
- Universitat de Barcelona
- University of Cantabria
- University of Deusto
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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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to Specific Requirements Experience in inflammatory bowel disease, immunology, inflammation,biomarkers, or related fields. Experience with cell cultures, organoids, or other experimental models. Knowledge
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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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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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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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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