Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- France
- Sweden
- Germany
- Netherlands
- Belgium
- Norway
- United States
- Spain
- Denmark
- Czech
- Italy
- Poland
- Portugal
- Canada
- Finland
- United Arab Emirates
- United Kingdom
- Worldwide
- Luxembourg
- Austria
- Australia
- Japan
- Lithuania
- Brazil
- China
- Estonia
- Hong Kong
- Ireland
- Morocco
- Saudi Arabia
- Singapore
- Switzerland
- Croatia
- Slovakia
- Slovenia
- South Africa
- Uzbekistan
- 27 more »
- « less
-
Program
-
Field
-
: Modern machine learning approaches are increasingly exploited to automate and optimize fault detection and classification. We propose to investigate methods that improve diagnostics under under-represented
-
techniques optimized for accuracy, robustness, and low computational requirements to support real-time deployment. In addition to the sensing and data processing components, the project also addresses
-
Laboratoire Interdisciplinaire des Energies de Demain - Université Paris Cité | Paris 15, le de France | France | 17 days ago
. The SIMULACTOR project aims to develop an integrated multiscale approach to model the mechanical behavior of PPAs. Its objective is to understand and optimize PPA properties using a simulation strategy that spans
-
. The candidates will be working with the QV2 software team and will learn to develop scientific software in a collaborative environment. Project 1: Readout Optimization and Software Development This project focuses
-
expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
-
topic: “Topology optimization and residual stress modeling for additive manufacturing of Ni₃Al-intermetallic based alloys” Supervisors: Sup. Researcher Tatevik Minasyan, Department of Mechanical and
-
Operations Research and Operations Management, such as network theory, combinatorial optimization, and econometrics. The project pursues three interrelated aims: first, to characterize how network structure
-
construction of complex metallic components. Activities include planar and non-planar slicing, toolpath optimization, robotic integration, and experimental validation on aluminum alloys and structural steels
-
, allowing timely corrective actions to be implemented. Furthermore, such models shall support the optimization of processes from an energy efficiency perspective. Where to apply Website https
-
to stiffness and energy storage-and-return performance under loading conditions representative of the gait cycle; ii) The definition and application of a stiffness-driven design and optimization framework, based