Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
The Computer Science program in the Computer, Electrical and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa) at King Abdullah University of Science and Technology (KAUST
-
operation of the lab, mediating lab upgrade projects, and assisting in various research and administrative tasks. The Research Engineer will be a key support to Prof. Derya Baran and contribute
-
spectroscopy, and PPMS. Use cleanroom nanofabrication processes to build 2D-material-based electronic devices. Design, execute, and troubleshoot experiments. Publish research findings in high-impact journals and
-
and synthesis of microporous polymers and their applications in electrochemical processes for energy storage and conversion. You will independently lead a research direction within the group, while
-
using a combination of multimodal imaging, computer vision, and lab automation platforms that govern entire workflows (e.g. ThermoFisher momentum software scheduling Hamilton liquid handlers and high-end
-
or non-bio-based sources, with applications in energy storage and other emerging technologies. Key Responsibilities: · Develop and optimize hard carbon synthesis processes using bio-based and non-bio
-
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
-
The Applied Mathematics and Computational Sciences (AMCS) program in the Computer, Electrical and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa ) at King Abdullah
-
synthetic genomics (plant, yeast, mammal agnostic) Scalable expression systems and bioprocess engineering for alternative carbon source utilization, and process design for biosystem production Bioprocess
-
project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict