Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- France
- Sweden
- Spain
- Netherlands
- Portugal
- Belgium
- Denmark
- Norway
- Australia
- Poland
- Ireland
- Finland
- Austria
- United Arab Emirates
- Singapore
- Canada
- Italy
- Switzerland
- Czech
- Morocco
- Luxembourg
- Hong Kong
- Romania
- Estonia
- Cyprus
- China
- Greece
- Japan
- Lithuania
- Brazil
- Latvia
- Bulgaria
- India
- Israel
- Saudi Arabia
- Slovakia
- Vietnam
- Andorra
- Bangladesh
- Europe
- Iceland
- Malta
- New Zealand
- Worldwide
- 37 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Biology
- Engineering
- Business
- Mathematics
- Science
- Chemistry
- Materials Science
- Social Sciences
- Environment
- Education
- Psychology
- Arts and Literature
- Humanities
- Electrical Engineering
- Linguistics
- Earth Sciences
- Law
- Physics
- Sports and Recreation
- Philosophy
- Design
- 14 more »
- « less
-
the host team. The PhD project will focus on developing new post-processing methods using neural networks, starting with coupled PLIF-OH/PIV and PLIF-NO/PIV diagnostics, then extending to the analysis of all
-
contexts. Functions to be developed: Design, carry out theoretical analysis and experimental evaluation of graph protection algorithms, with the aim of guaranteeing properties such as privacy, security
-
. Indeed, the methods currently used rely on optical image databases of various avalanche observations. A deep neural network was trained on this data to enable automatic avalanche detection FIGURE 1 (a) [1
-
financial analysis techniques such as cash flow and depreciation forecasting, net present value calculations. Responsibilities include delivering actionable insights through data-driven recommendations
-
in the execution of active projects within the network (database development, fieldwork monitoring, among other tasks). c) Statistical analysis of data generated in research projects. d) Support in
-
– study of performance parameters to be taken as metrics for the analysis. --- Scenarios development – development of scenarios for the network analysis. --- Model development – development of a model for
-
interconnected DES via (i) realistic modeling of malicious attacks and/or network disturbances in networked DES; (ii) design of multi-layer anomaly detection/identification algorithms and analysis of cross-layer
-
within the SecReSy4You MSCA Doctoral Network at Eindhoven University of Technology. Information The Dynamics and Control group at Eindhoven University of Technology (TU/e) conducts world-class research
-
part of change This position is part of the PhD project under Horizon Europe MSCA Doctoral Networks "FOCAL" (https://cordis.europa.eu/project/id/101169042 ): Architecture design and effective routing
-
established with the FSD. Investigate the metabolomic dependencies in medulloblastoma M/F Deregulations in biological networks are key events in pathogenesis of cancer, whose knowledge should open the road