4 Early Stage Researcher Positions. European Industrial Doctorate CardioFunXion

CardioFunXion provides a platform for industrial-clinical-academic collaboration and will be an example of future partnerships in more efficient and auditable clinical image interpretation tools. All partners bring specific expertise: either they produce workstations (PHILIPS), use them (IDIBAPS, CHUC) or contribute to algorithms to be incorporated into them (UPF). By organising and accelerating exchange of knowledge, experience and tools between the different actors, CardioFunXion will consolidate sustainable partnerships. The project will give early-stage researchers (ESRs) the opportunity to be exceptionally well-placed to become key future contributors to the development of advanced imaging techniques for the assessment of cardiovascular disorders, equipping them with multidisciplinary state-of-the-art skills plus awareness and experience in commercial development, contributing to European scientific and commercial capabilities in an area where technological, scientific and clinical developments are very closely linked.

The program is led by:

  • Universitat Pompeu Fabra (PhySense Group: Sensing in Physiology and Biomedicine, Department of Information and Communication Technologies) in Barcelona
  • Philip Research France, Medysis.
  • The Institut de Investigacions Biomediques Agusti Pi i Sunyer (IDIBAPS) in Barcelona and the Centre Hospitalier et Universitaire de Caen are the associated clinical partner. They provide a full immersion in a clinical environment, offering the possibility to understand practical challenges behind problems they are tackling.

Marie Sklodowska-Curie European Industrial Doctorate CardioFunXion: Towards a novel paradigm for cardiac function announces 4 PhD fellowships starting end of 2015. PhD students will be supervised by PIs from UPF and Philips (spending 50% of the time in each), and include the collaboration with the two clinical centers involved

Projects:

  • Longitudinal assessment of cardiac function
  • Fusion of heterogeneous measurements into a physiological plausible patient representation
  • Open reference databases and tools for the multimodal validation of strain
  • Novel approach for evidence based classification of heart failure etiologies

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