Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Portugal
- United Kingdom
- Sweden
- Norway
- Singapore
- France
- Germany
- Canada
- Australia
- Netherlands
- Belgium
- Denmark
- Poland
- Spain
- United Arab Emirates
- China
- Luxembourg
- Worldwide
- Hong Kong
- Italy
- Cyprus
- Finland
- Austria
- Czech
- Switzerland
- Saudi Arabia
- Estonia
- Japan
- Armenia
- Bulgaria
- Greece
- India
- Latvia
- Barbados
- Croatia
- Europe
- Hungary
- Ireland
- Lithuania
- Malta
- Mexico
- Morocco
- New Zealand
- Romania
- Slovakia
- South Africa
- Vietnam
- 38 more »
- « less
-
Program
-
Field
- Medical Sciences
- Economics
- Computer Science
- Engineering
- Business
- Education
- Biology
- Science
- Materials Science
- Psychology
- Mathematics
- Arts and Literature
- Electrical Engineering
- Social Sciences
- Humanities
- Law
- Sports and Recreation
- Linguistics
- Chemistry
- Physics
- Environment
- Design
- Earth Sciences
- Philosophy
- 14 more »
- « less
-
on computer vision. The role will focus on developing, designing, and implementing novel algorithms and models to address emerging problems in computer vision, such as Multimodal Large Language Models and
-
, and system integration Providing general support for the lab Job Requirements: Master’s degree in Electrical Engineering, Computer Science, or related field Knowledge and experience in machine learning
-
further information regarding UTRGV and the Electrical and Computer Engineering Department, please visit our websites at https://www.utrgv.edu/ECE/ . Minimum Qualifications Applicants must possess a minimum
-
faculty during lab sessions for one or more of the following Electrical and Computer Engineering courses: ENGR 1731 Computing for Engineers ENGR 1732 Program Design for Engineers ENGR 2131 Electronics and
-
regular meetings with the research group. Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Proven experience working with wireless sensors, point cloud data
-
We are researching testing and validation procedures for new high efficiency electrical machines for future aircraft power generation systems in collaboration with Safran Electrical & Power UK and
-
Website https://fenix.tecnico.ulisboa.pt/fenixedu-admissions Requirements Research FieldEngineering » Computer engineeringEducation LevelUndergraduate Skills/Qualifications Admission Requirements 1
-
, spectroscopy, and electrical performance measurements. You will work closely with fabrication engineers to translate physical processes into machine learning models, design and train deep learning architectures
-
, electrical engineering, machine learning, data science, computer science, applied mathematics or in a similar field, or have completed at least 240 credits in higher education with at least 60 credits at
-
, Electrical Engineering, or Telecommunications and Computer Engineering. b) Having an interest in application development and the integration of computer systems Additional Information Benefits Monthly