49 bio-inspiring-computing positions at King Abdullah University of Science and Technology in Saudi Arabia
Sort by
Refine Your Search
-
international, graduate-level research university, located on the Red Sea near Thuwal, 80 kilometers (50 miles) North of Jeddah, in the Kingdom of Saudi Arabia. Dedicated to inspiring a new age of scientific
-
research in the field of machine learning, more specifically, deep learning and representation learning architectures. Application areas of ML include, but are not limited to, computer vision, natural
-
The AI Lecturer will play a crucial role in supporting the delivery of high-impact Artificial Intelligence (AI) training programs offered by KAUST Academy. This position involves delivering engaging and practical AI instruction to a diverse range of participants, including government sector...
-
-inspired approaches for modeling, designing, and predicting the response of composite systems. Responsibilities: Develop AI approaches for predictive multi-physics response of composites in Energy
-
computational resources. It is the leading university in citation per faculty according to the QS Rankings. Further information can be found at www.kaust.edu.sa .
-
of bioinformaticians, computer scientists, biotechnologists, biologists, and biochemists. The successful candidate will also enjoy an environment aimed to facilitate progress in the research career: networking, student
-
Engineering, and Mechanical Engineering. The selected candidate will work collaboratively with the Dean to determine their home program. Located on the western shores of the Red Sea in Saudi Arabia, KAUST
-
The Bioscience Program in the Biological and Environmental Science and Engineering (BESE) Division at King Abdullah University of Science and Technology (KAUST) is launching a significant initiative
-
genomics, protein engineering, cloning/assembly workflows, cell line development). You will work closely with computational experts to establish innovative, high-throughput, high-fidelity screening platforms
-
Applicants must have a PhD in Computer Engineering, Computer Science, or Electrical and Computer Engineering, and have published their research in prestigious conferences and journals in related