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
- Canada
- China
- Poland
- Finland
- Hong Kong
- Japan
- Austria
- Luxembourg
- Italy
- Vietnam
- Ireland
- Morocco
- Romania
- Estonia
- Saudi Arabia
- Cyprus
- Czech
- Greece
- New Zealand
- Brazil
- Croatia
- India
- Lithuania
- Kyrgyzstan
- Latvia
- Russia
- South Africa
- Andorra
- 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
- Earth Sciences
- Environment
- Linguistics
- Law
- Philosophy
- Design
- Physics
- Sports and Recreation
- 14 more »
- « less
-
achievements in the area of biomedical engineering, in particular: designing computer-aided diagnosis systems; analyzing images, signals, and multimodal data, particularly using artificial intelligence methods
-
https://engineering.purdue.edu/Engr External Recognitions Program https://engineering.purdue.edu/Engr/People/Awards College of Engineering's Social Media https://engineering.purdue.edu/Engr/AboutUs
-
Information Technology (UFIT) is currently seeking an entry level End User Computing Specialist I to join Learning Spaces Academic Technology, a unit within UFIT. Employment with UFIT provides an excellent opportunity
-
dependable large-scale software systems, integrating expertise in: Software Engineering Machine Learning & MLOps Robotics & Cyber-Physical Systems Cloud & HPC ecosystems Interdisciplinary research. As a
-
Engineering or relevant field; Strong computer programming skills (e.g., C/C++/Java/Python, Matlab) are a must; Strong background in Computational and/or Artificial Intelligence; Usage of Machine Learning and
-
LevelBachelor Degree or equivalent Skills/Qualifications Technical Skills: Simulation and modeling tools for engineering systems. Machine learning and deep learning frameworks: TensorFlow, PyTorch. Version
-
details, please view https://www.ntu.edu.sg/cus We are looking for a Research Associate who will be based in School of Civil and Environmental Engineering (CEE) and will be expected to work effectively in
-
applications for an Assistant Teaching Professor position in the School of Electrical and Computer Engineering. The successful candidate will be expected to teach courses primarily in computer engineering
-
techniques are oftentimes needed to correctly describe correlated electronic systems. In recent years, electronic structure methods have been coupled to machine learning to accelerate predictions and for
-
and theory-guided machine learning algorithms for the prediction of manufacturing processes in composite materials. Development of user subroutines for finite element constitutive models Validation