28 geographic-information-system-policy-strategy Postdoctoral positions at King Abdullah University of Science and Technology
Sort by
Refine Your Search
-
Professor Max Frenzel is currently recruiting for a 2-year Post-doc position (extendable) to join the new Mineral Exploration and Exploitation Group at KAUST. The focus of the position will be
-
- the changes occurring in Multiple Myeloma and Myelodysplasia. What is expected: Bioinformatic analysis (depending on the experience of the candidate): (i) support in the implementation and/or development
-
at the Mechanics of Composites for Energy and Mobility Lab . (MCEM). Field of study A Post-doctoral opening is available in the area of engineered thermoplastic composite tanks. Hydrogen storage is an
-
. Develop sensing principles, data acquisition, and measurement systems. Upscale technology and validate its integration into a variety of structures, including structures for mobility, energy, and civil
-
pursue this venture. KAUST’s culture embraces a healthy work and life balance. The university campus is located on the Red Sea's shores, built to protect the fragile coastal ecosystem, which includes a
-
We use cookies which are necessary to make our site work. We may also use additional cookies to analyse, improve and personalise our content and your digital experience. For more information, see
-
. Quantifying the spatio-temporal variability in their nutritional contributions—and integrating this knowledge into dietary assessments and future food security scenarios—is crucial for developing resilient
-
Geological Carbon Storage (GCS) is an important geo-solution to mitigate the increasing global carbon emission in order to meet the goal of Paris Climate Agreement. For the purpose of GCS management
-
One postdoctoral position is currently available at King Abdullah University of Science and Technology (KAUST) for a collaborative project with a starting date of April 1, 2020. The candidate will
-
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