Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Germany
- Portugal
- Singapore
- Netherlands
- Spain
- United Arab Emirates
- Denmark
- France
- Norway
- Australia
- Belgium
- Switzerland
- China
- Canada
- Poland
- Finland
- Hong Kong
- Austria
- Japan
- Luxembourg
- Italy
- Vietnam
- Ireland
- Morocco
- Romania
- Estonia
- Saudi Arabia
- Czech
- Greece
- Cyprus
- New Zealand
- Brazil
- Croatia
- India
- Lithuania
- South Africa
- Kyrgyzstan
- Russia
- Andorra
- Latvia
- Malta
- Slovenia
- Worldwide
- Armenia
- Bulgaria
- Israel
- Kenya
- Kuwait
- Lebanon
- Taiwan
- 43 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Engineering
- Medical Sciences
- Science
- Business
- Biology
- Education
- Materials Science
- Arts and Literature
- Mathematics
- Electrical Engineering
- Social Sciences
- Chemistry
- Humanities
- Psychology
- Environment
- Earth Sciences
- Linguistics
- Law
- Philosophy
- Physics
- Design
- Sports and Recreation
- 14 more »
- « less
-
The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 3 days ago
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 17-Jan-26 Location: Charlotte, North Carolina Categories: Academic/Faculty Engineering Internal Number: 65886
-
collaboration. Qualifications: Applicants must have a PhD in Robotics, Control Engineering, Machine Learning, AI, Mechanical or Electrical Engineering, or a closely related field. Strong focus on robot
-
of results at conferences - interaction with team members and international collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning
-
- development of novel machine models based on supervised, unsupervised and reinforcement learning that can be combined with, enhance or replace methods from computational engineering and computer simulation
-
these autonomy and self-adaptation capabilities. Three major challenges have been identified: (P1) modelling uncertain environments where robust, weakly supervised machine learning algorithms can be deployed
-
development from the analytical and methodological perspective of an engineer. Students build advanced design and engineering skills, enhance their knowledge in cloud computing, and develop machine learning
-
contributions as a software engineer for a wide range of projects requiring computing systems design and realization, including machine learning (ML) and artificial intelligence (AI) applications including
-
Technology (CoET) at AUM is dedicated to maintaining high quality academic programs by adopting a learner centered approach. CoET aspires to prepare students for life-long learning and careers in engineering
-
role: Strong knowledge in C++ and/or Javascript for 3D/VR applications (e.g., babylon.js, A-Frame, etc.) will be an advantage Experience in developing XR app for teaching & learning/training. Experience
-
8 Jan 2026 Job Information Organisation/Company Universidade de Vigo Department T03 Mechanical Engineering, Machines, and Thermal and Fluid Motors Research Field Engineering » Mechanical engineering