Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
a lack of a coherent and mathematically rigorous methodology for how health, environmental and population exposure and vulnerability data can be combined to optimally issue warnings in order to
-
in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
-
learning approach to translating multi-modal inspection data into remaining useful life predictions; and (3) create a dynamic techno-economic model linking real-time condition assessments to optimal
-
is to understand and optimize PPA properties using a simulation strategy that spans from the molecular scale (ab initio calculations) to continuum approaches, thereby accounting for the different
-
fellows and students, maintaining laboratory equipment, contributing to in vivo experiments in small animals (mice), and leading optimization studies using existing biological data within the CTRC. Propose
-
Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
. These simulations are run on highly parallel supercomputers on which both the hardware and the software are optimized for the task at hand. While the computing power of each processing unit is still increasing, the
-
reduce pain. However, recent research has shown that even where there is no clear cause of the CLBP, people use their muscles differently compared to those without pain, presenting an opportunity
-
defines the basic properties and differences of VR/AR, describes their advantages and disadvantages, as well as their practical use in industry. The doctoral student will design three-dimensional models
-
-speed photodiode, their optical beating directly produces a THz signal whose frequency is set by the line spacing (or selected line differences). This makes frequency-comb lasers a compact, tunable, and
-
, specifically methods that combine machine learning and optimization with physics-based simulation and/or physical constraints and translate these methods into impactful industrial applications. The position is