69 computer-science-intern-"https:"-"https:"-"https:"-"https:" positions in Saudi Arabia
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
for international exploration companies has led to a substantial increase of activity in the mineral exploration sector. Given the great geological potential of Saudi Arabia for different types
-
internal applications. The role combines strong hands-on engineering with architectural leadership across data models, APIs, cloud components, and enterprise integration patterns. This engineer will
-
vision, please refer to the following link: https://www.kaust.edu.sa/en/about/our-strategy About the PSE Division and KAUST The Physical Science and Engineering Division comprises seven Degree Programs
-
The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
-
Required Qualifications ● Master’s degree or higher in Electrical Engineering, Applied Physics, Materials Science, or related field ● 3-5 years of hands-on cleanroom fabrication experience (academic
-
(e.g., DOIs for datasets, ORCID iDs for contributors), access control (including internal research data asset cataloging and embargoes), and long-term preservation. The Lead consults widely with
-
English; Arabic proficiency preferred. • Strong credibility-building skills with internal and external stakeholders at all levels. • Excellent leadership, communication, and time management capabilities
-
knowledge of international education. Ability to articulate the distinct qualities of science and technology in a global context, including an appreciation for KAUST’s contribution to Saudi Arabia (desirable
-
on-site. The engineer will work closely with a multidisciplinary research team to bring the technology from the lab to field-tested implementation. Major Responsibilities – include but are not limited
-
The design of industrial membrane separation materials requires advanced computation methods, such as computational fluid dynamics and computational chemistry, to design, analyze, and predict