Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- Sweden
- United Kingdom
- Portugal
- Singapore
- Norway
- Spain
- Italy
- Netherlands
- Belgium
- Denmark
- Poland
- United Arab Emirates
- Australia
- Luxembourg
- Romania
- Ireland
- Canada
- China
- Hong Kong
- Austria
- Czech
- Finland
- Worldwide
- Cyprus
- Estonia
- Japan
- Malta
- Switzerland
- Greece
- India
- Morocco
- Slovakia
- Andorra
- Bulgaria
- Saudi Arabia
- Armenia
- Brazil
- Europe
- Mexico
- New Zealand
- 33 more »
- « less
-
Program
-
Field
-
vulnerability with respect to a DES property of interest; and (iii) testbed demonstration of any developed modeling techniques and algorithms. Responsibilities and Duties Interdisciplinary research on CPS
-
further requires teamwork to implement those models in tandem with hardware development. Essential Job Duties Research and evaluation of algorithms for detecting landing zones. Development of custom
-
of the analysis of in-situ experimental data in the field of non-destructive testing (digital image correlation, thermography and acoustic emission) development of algorithm-supported evaluation methods in
-
-edge optical microscopy systems for biomedical applications. This project involves the development of compact, label-free quantitative tomography systems and inverse scattering algorithms to push the
-
. The successful candidate will assist in developing novel algorithms and integrating them into robotic platforms, helping to push the boundaries of embodied intelligence in both research and practical deployment
-
processing using Artificial Intelligence (AI) algorithms, integrated as an energy-efficient Point-of-Care computing tool. The system will be developed following a co-creation methodology involving key
-
for application to fusion reactors, considering factors such as muon flux, detector sensitivity, and data analysis algorithms. PhD candidates will be tasked with developing simulations of complete detectors and
-
using radiomic imaging algorithm in Hypoxic Ischaemic Encephalopathy). The Sophie project aims to develop a Neonatal MRI Biomarker for newborns with Hypoxic Ischaemic encephalopathy that is predictive
-
& Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable implementations. By establishing a new class of multi-frame
-
on the project of NEMO Sub-Project C: Passive UE activity inference (4/5G) from OTA network traffic. The role will focus on developing algorithms and methods for processing and analyzing 5G signals. We