Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Model. Int. J. Hydrog. Energy 2014, 39 (9), 4516–4530. https://doi.org/10.1016/j.ijhydene.2014.01.036.  ; [3] Carral, C.; Mele, P. Modeling the Original and Cyclic Compression Behavior of Non-Woven
-
primary research aim will be to explore how the geometry of data can help build better uncertainty-quantifying models, particularly for complex data types like molecules and images. However, other research
-
., Random Forest Trees and related ensemble models) to identify key controls governing catalytic performance. You will work closely with experimental collaborators to interpret spectroscopic and catalytic
-
) that are subject to constraints. The goal of this thesis is to design such models and to mobilize them for the unmixing problem. Depending on the findings and the candidate’s interests, other types of geometric
-
more cost-efficient. Together, UESL and IMOS are seeking a motivated and qualified PhD candidate to advance the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By
-
, including electrons and quasiparticles, as well as wave phenomena in metamaterials. Using primarily analytical approaches based on model systems, we investigate a wide range of physical systems—from quantum
-
of the following tasks: Design, simulation, construction, and optimization of an antenna intended for a satellite payload. The work involves defining the antenna’s electromagnetic and geometrical requirements, as
-
postdoc to join our team at the Division of Applied Mathematics and Statistics, Department of Mathematical Sciences, and contribute to research on stochastic and statistical models for large-scale shape
-
determine their geometric configuration. To date, around one hundred hot stars have been observed using the instruments ESPaDOnS (CFHT, Hawaii), Narval (TBL, France), and HarpsPol (ESO, Chile), including
-
-time postdoctoral grant in Probability and Statistical Physics - CY Cergy Paris University Mathematical modelling of complex systems often involves combining deterministic structures with probabilistic