Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
captured either by globally over refining the mesh, which is computationally expensive and environmentally inefficient, or by running multiple successive simulations to iteratively adjust the mesh. Both
-
on developing a new multi-disorder prediction approach that integrates different sources of information. You work with analytical model development, extensive simulation studies and analysis of existing large
-
resonant acoustic mixing (RAM) – a relatively novel processing methodology which is of increasing industrial interest spanning multiple sectors. The project will allow the candidate to explore a number of
-
Centre Euopéen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS) | Toulouse, Midi Pyrenees | France | about 10 hours ago
» Mechanical engineering Engineering » Simulation engineering Environmental science » Earth science Environmental science » Global change Geosciences » Other Physics » Applied physics Researcher Profile First
-
candidate will conduct simulations under multiple environmental change scenarios (accounting for climate change at least) and produce maps of projected changes in tree species diversity. The impacts
-
the mesh, which is computationally expensive and environmentally inefficient, or by running multiple successive simulations to iteratively adjust the mesh. Both approaches raise computational cost, energy
-
manufacturing details. This de-featuring is not only expensive but also problem-dependent, as the relevance of a geometric detail varies with the physics being simulated. Concepts such as virtual topology have
-
over open water. The central challenge lies in recovering reliable environmental parameters from water-surface imagery in which multiple physical factors are tightly coupled. Illumination angle, spectral
-
, impactful educational programs. The successful candidate must be flexible and possess excellent leadership and communication skills to juggle multiple projects, secure grant funding, and effectively bridge
-
SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
Temporary contract | 14 + 22 + 14 months | Belvaux Are you fascinated by data-driven atomistic simulations for materials science? So are we! Come and join us. We seek a highly motivated and capable