18 security-"https:" "https:" "https:" "https:" "UCL" uni jobs at Nature Careers in France
Sort by
Refine Your Search
-
partnering with Perrett Laver in the recruitment to this role. To apply, or to download further information please visit https://plusportal.perrettlaver.com/ quoting reference 8238.The deadline
-
researchers in the implementation of their research programme at the host institution. (https://www.fnr.lu/funding-instruments/pearl/) Your Profile… Outstanding track record in the field of translational
-
settings involving continuously evolving observations and strict latency constraints, such as real-time perception or control systems Gehrig and Scaramuzza (2024). Beyond safety-critical scenarios
-
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
-
to further develop their group and demonstrate their ability to secure competitive funding. To that purpose, they will be supported by the Paris Brain Institute grants office. Junior Group Leaders will be
-
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
-
of Geography and Spatial Planning (https://dgeo.uni.lu ), joining the Economic Geography team of Prof. Christian Schulz. The position contributes to the INTERREG-NWE funded AccessHubs project, which examines
-
Department of Geography and Spatial Planning (https://dgeo.uni.lu ) and participate to its activities Your profile Master's degree in human geography, spatial economics, or a quantitative social science field
-
Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
References 1. Elsoe R, Larsen P, Nielsen NP, Swenne J, Rasmussen S, Ostgaard SE.Population-based epidemiology of tibial plateau fractures. Orthopedics. 2015 Sep;38(9):e780–6.Available from: https
-
, 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