Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- France
- Italy
- Sweden
- Germany
- Spain
- Australia
- Canada
- China
- Austria
- Poland
- Netherlands
- Portugal
- Singapore
- Belgium
- Denmark
- Japan
- Finland
- Czech
- United Arab Emirates
- Luxembourg
- Hong Kong
- Ireland
- India
- Switzerland
- Morocco
- Macau
- Cyprus
- New Zealand
- Estonia
- Greece
- Croatia
- Latvia
- Lithuania
- Saudi Arabia
- South Africa
- Norway
- Malta
- Mexico
- Worldwide
- Andorra
- Bulgaria
- Hungary
- Kyrgyzstan
- Slovenia
- Vietnam
- Armenia
- Bangladesh
- Europe
- Guadeloupe
- Israel
- Romania
- 43 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Business
- Science
- Education
- Mathematics
- Psychology
- Materials Science
- Social Sciences
- Arts and Literature
- Chemistry
- Humanities
- Environment
- Linguistics
- Sports and Recreation
- Law
- Earth Sciences
- Electrical Engineering
- Philosophy
- Physics
- Design
- Statistics
- 15 more »
- « less
-
programme in the field of cardiovascular computational modelling. Under the supervision of the project’s researchers, they will carry out the following tasks: Implementation and validation of computational
-
, seeks to recruit a junior research scientist to develop AI-enabled healthcare applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research fellow will contribute to the development
-
) Established Researcher (R3) Application Deadline 18 May 2026 - 12:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme
-
-online scientific computing, digital twins, advanced programming, high performance computing and/or large scale computing competences. Where to apply Website https://pica.cineca.it/sissa/cdr-fe-mate-09
-
LMPS - CNRS - CentraleSupélec - ENS Paris-Saclay | Gif sur Yvette, le de France | France | 13 days ago
. This model is implemented within a dedicated, object-oriented code, based on the finite element method and developed in a MATLAB environment. The work program of this thesis is structured around 2 main axes
-
for their possible application in edge computing (edge intelligence). x Investigate the application of frugal Artificial Intelligence and active learning models that allow the development of intelligent models
-
algorithm development and system performance. Technical Focus Areas Computer Vision and Model Development: Design and train deep learning models for insect classification and morphological recognition
-
, machine learning techniques, and domainspecific scientific knowledge. This role is responsible for processing and analyzing complex datasets, developing and optimizing machine learning models, and
-
programme in the field of cardiovascular computational modelling. Under the supervision of the project’s researchers, they will carry out the following tasks: Development of fluid–electro–bio-mechanical