Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Norway
- Sweden
- France
- Denmark
- Belgium
- Netherlands
- Portugal
- Singapore
- Spain
- Australia
- Hong Kong
- Switzerland
- China
- Luxembourg
- Poland
- United Arab Emirates
- Canada
- Italy
- Austria
- Cyprus
- Finland
- Estonia
- Czech
- Ireland
- South Africa
- India
- Latvia
- Bulgaria
- Lithuania
- New Zealand
- Morocco
- Saudi Arabia
- Andorra
- Armenia
- Brazil
- Israel
- Japan
- Worldwide
- Europe
- Greece
- Iceland
- Malta
- Romania
- Slovenia
- Vietnam
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Mathematics
- Materials Science
- Arts and Literature
- Humanities
- Business
- Chemistry
- Electrical Engineering
- Linguistics
- Social Sciences
- Education
- Environment
- Earth Sciences
- Design
- Physics
- Psychology
- Sports and Recreation
- Philosophy
- Law
- 14 more »
- « less
-
and uncertainty mapping at satellite, airborne and drone levels. You will explore advanced retrieval techniques, including spatio-temporal regularization, and hybrid methods with machine learning and
-
, functionality, and performance. You will join a team consisting of five other PhD researchers and colleagues from two additional departments (Electrical Engineering, and Mathematics & Computer Science). The team
-
» Autonomic computing Engineering » Maritime engineering Technology » Computer technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 25 Apr 2026 - 23:59 (Europe
-
180 years, we provide technology-enabled products, platforms and services that help researchers to uncover new ideas and share their discoveries, health professionals to stay at the forefront of medical
-
validate adaptive mechanisms for LoRaWAN based on machine learning techniques, targeting improved reliability and energy efficiency in mobile scenarios. To achieve this, it is necessary to go beyond
-
of the Alhambra and the Generalife. Project 2 — Machine learning for energetic-particle transport in thunderstorms This project explores machine-learning (ML) techniques to accelerate the numerical simula- tion
-
Project description Electromagnetic (EM) sensing is emerging as a powerful enabling technology for modern high-value manufacturing. Advances in computing power and machine learning now allow us to
-
mathmatical modeling. The candidate should also have a PhD or other advanced degree in a food or engineering related field. Knowledge of food formulation, sensory analysis, extrusion technology, machine
-
Fotograf Morten Hjertø 30th April 2026 Languages English English English The Department of Ocean Operations and Civil Engineering has a vacancy for a PhD Candidate in AI-Enabled Uncertainty Analysis
-
most-lauded science and engineering programs and has also gained prominence for a breadth of educational paths, from criminology to biomedical engineering to arts and technology.The wealth of learning