Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
robust spectral and angular performance, ensuring stable optical behavior over wide incidence angles, large-area scalability, and environmental robustness. The main objectives of the project are: • Design
-
Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
also analyse already-made simulations to test management strategies balancing all actors' expectations in order to provide robust predictions of forest's contributions under both climate change and
-
particular emphasis on ap- proaches that account for temporal dynamics and are compatible with real-time use. • Analyze the results obtained and identify the limitations and robustness of the approaches used
-
robust spectral and angular performance, ensuring stable optical behavior over wide incidence angles, large-area scalability, and environmental robustness. The main objectives of the project are: • Design
-
of quantum materials that host robust edge that are stable against perturbations. In the weak coupling regime, microwave spectroscopy can be used to probe topological phase transitions, with
-
, are robust tracers of fluid origin, production mechanisms, and migration pathways. Helium, transported notably by CO₂ and hydrothermal fluids, is a key tracer of mantle contributions and deep sources of H
-
Garcin. This comparison will be carried out from theoretical (emergence, economics, gravity, spatial interactions, graphs, urban form), methodological (robustness, error propagation, discrete choice
-
measurement platform capable of quantifying more than one hundred cytokines in biofluids, providing a cost-effective, robust and scalable alternative to current cytokine assays with clear translational
-
. Scappucci, and L. M. K. Vandersypen, Nature 609, 919 (2022). [2] Robust and localised control of a 10-spin qubit array in germanium, V. John, C. X. Yu, B. van Straaten, E. A. Rodríguez-Mena, M. Rodríguez
-
, electronic properties, and spectroscopic response. A major component of the project will focus on coupling DFT calculations with machine learning models to accelerate spectral prediction, identify robust