Sort by
Refine Your Search
-
within the Faculty. Along with the disciplinary approach a very ambitious interdisciplinary research culture has been developed. The faculty's research and teaching focuses on social, economic, political
-
The European Clinical Research Infrastructure Network (ECRIN-ERIC) is seeking an inspiring and strategic Director General to lead the organisation through its next stage of development and offers a
-
to the principal investigators. Participate actively in recruitment and career development of senior researchers and group leaders. Ensure DIMD actively contributes to the translational research effort and build
-
laboratory from Université Côte d’Azur (UCA). He leads the eBRAIN research group and develops an interdisciplinary research activity on embedded bio-inspired artificial intelligence and neuromorphic
-
encourages diversity. THE INSTITUTE: The European Synchrotron Radiation Facility (ESRF): https://www.esrf.fr/home.html is a world-leading international scientific research infrastructure supported by nineteen
-
2026. The interested individuals are expected to fill in the following form: https://form.jotform.com/260435174909360 . They will be able to upload the requested documentation directly on the form (as
-
are also investigators of the Institute. As part of its scientific strategy development plan, Paris Brain Institute has recently launched an ambitious center for Artificial Intelligence (AI) and data science
-
within the Faculty. Along with the disciplinary approach a very ambitious interdisciplinary research culture has been developed. The faculty's research and teaching focuses on social, economic, political
-
Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
the literature are semi-automated and apply only to healthy knee bone structures in the context of elective orthopedic surgery [5, 6]. Moreover, many of these models are developed by private companies for implant
-
, https://hal.science/hal-04930868 . [2] Peyré, G., Cuturi, M., et al. (2019). Computational optimal transport: With applications to data science. Foundations and Trends in Machine Learning, 11(5-6):355–607