Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Belgium
- Switzerland
- Netherlands
- United Arab Emirates
- Sweden
- Austria
- Luxembourg
- Australia
- Portugal
- Singapore
- Canada
- Denmark
- France
- Norway
- China
- Poland
- Ireland
- Hong Kong
- Finland
- Estonia
- Malta
- Spain
- Taiwan
- Brazil
- Cyprus
- Saudi Arabia
- Vietnam
- Europe
- Iceland
- Andorra
- Czech
- Israel
- Italy
- Japan
- New Zealand
- Slovenia
- 29 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Chemistry
- Mathematics
- Education
- Business
- Electrical Engineering
- Earth Sciences
- Psychology
- Materials Science
- Environment
- Linguistics
- Humanities
- Arts and Literature
- Physics
- Social Sciences
- Sports and Recreation
- Design
- Philosophy
- Statistics
- 14 more »
- « less
-
, storage, accessibility/sharing, archiving, publication, and preparing data for machine learning applications. The Research Training Group RTG 3120 offers, subject to the availability of resources, a
-
The role The Atmospheric Chemistry Research Group (ACRG) and School of Engineering Mathematics at the University of Bristol have developed GATES, a graph neural network (GNN) machine learning model
-
, storage, accessibility/sharing, archiving, publication, and preparing data for machine learning applications. The Research Training Group RTG 3120 offers, subject to the availability of resources, a
-
wide range of research, including quantum information and simulation, artificial Intelligence and machine Learning, and physics within and beyond the Standard Model at current and future colliders. The
-
particular focus on applications relevant to the Arab world. The successful applicant will join a multidisciplinary research team working at the intersection of machine learning, algorithmic fairness, human
-
of robust, wearable neurotechnologies. This role offers an excellent opportunity for a researcher with expertise in neural signal processing and AI/machine learning for the analysis, classification, and
-
initiated research Advantages strengthening the candidate’s profile, but not explicitly required: Knowledge of machine learning and system optimisation; Python or MATLAB programming. Having published as (co
-
machine learning approaches. These are similar to earlier work on charge and excitation energy transfer (see https://constructor.university/comp_phys). The project for the PhD fellowship is slightly more
-
Vacancies PhD Opening: Reinforcement learning in human neuromusculoskeletal models for the control of human-inspired musculoskeletal robots. Key takeaways We’re seeking for motivated candidates
-
Competition Funded Students Worldwide Prof A Tartakovskii, Dr Imad Faruque Application Deadline: 15 January 2026 Details A fully funded PhD opportunity to participate in the world-leading research undertaken