Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- France
- Norway
- Portugal
- Singapore
- Belgium
- Spain
- Netherlands
- Denmark
- United Arab Emirates
- China
- Italy
- Canada
- Luxembourg
- Switzerland
- Australia
- Hong Kong
- Austria
- Finland
- Czech
- Ireland
- Poland
- Cyprus
- Japan
- Morocco
- Brazil
- Estonia
- Latvia
- India
- Saudi Arabia
- Lithuania
- South Africa
- Bulgaria
- Greece
- Romania
- Taiwan
- Andorra
- Israel
- Slovenia
- Armenia
- Barbados
- Europe
- Iceland
- Malta
- Mexico
- New Zealand
- Slovakia
- Vietnam
- 41 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Science
- Business
- Mathematics
- Education
- Psychology
- Materials Science
- Arts and Literature
- Humanities
- Chemistry
- Social Sciences
- Linguistics
- Earth Sciences
- Environment
- Electrical Engineering
- Law
- Sports and Recreation
- Physics
- Design
- Philosophy
- 14 more »
- « less
-
for AI and Machine Learning included as well as industrial statistics), which will complement our current research portfolio (see https://stat.kaust.edu.sa) and have a research profile that can potentially
-
modeling, machine learning, or data-driven prediction methods applied to environmental datasets. Experience building and maintaining large, frequently updated archives of weather or climate observations
-
computer systems. Ability to represent relevant information in abstract models. Critical thinking skills and attention to detail. Bachelor's degree in related area and / or equivalent experience / training 3
-
Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related
-
development of specialised APIs and lifecycle management of the machine learning model. This role will require a strong understanding of electrical engineering and power systems principles in order to encourage
-
-assisted image analyses. Candidate must be capable of working independently but importantly must be willing to work as part of a team. The RAI will participate actively in bench research as well as data
-
for vehicle applications; Abilities in using Finite Element modeling and analysis; Knowledge of injury biomechanics; Knowledge of Artificial Intelligent (AL) and Machine Learning (ML) techniques; and Abilities
-
Assistant Professor - Information Systems, Operations Management, Supply Chain Management, and Busin
AI/ML methodologies , advanced analytics , and data-driven decision making to solve contemporary business challenges. Research methods of particular interest include machine learning , deep learning
-
assessments. Develops models and examples of innovative activities and assignments that make use of AI tools. Provides consultation support for faculty and instructors on teaching and learning issues related
-
Models to push the frontier where computer vision, physics simulation, and embodied AI converge. Join Us! This position is part of a collaborative research programme between the University of Amsterdam