27 postdoc-molecular-modeling research jobs at King Abdullah University of Science and Technology
Sort by
Refine Your Search
-
We solicit applications for experienced Agronomists for Professor Himanshu Mishra’s research Group in King Abdullah University of Science and Technology (KAUST), Saudi Arabia (https://interfaciallab.kaust.edu.sa ). Expectations: Our goal is to enhance the sustainability of growing food crops and...
-
of molecular cargo to any specific cell type in the human body. Revolutionary advances in genome editing and cell manipulation tools await their translation into the clinic, but current vector technologies
-
containment. The prohibitively high computational cost of such simulations necessitates the development of efficient and robust surrogate models for general GCS modeling tasks, especially when inverse modeling
-
healthcare) where deep learning architectures, hierarchical learning models and representation learning can be truly impactful. The group strives to publish in top-tier ML venues such as NeurIPS, ICLR, ICML
-
This postdoc position is for a specialist in the fabrication of silicon heterojunction solar cells to be integrated into monolithic silicon perovskite tandem solar cells. For this position, we
-
-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
-
Modeling naturally fractured reservoirs is re-gaining interest in the Oil & Gas industry and academia for application in carbonate fractured reservoirs and unconventional reservoirs where natural
-
This postdoc position is designed for a specialist in the fabrication and development of large-scale perovskite solar cells and modules. For this position, we are looking for a candidate with an
-
The lab of professor Jesper Tegnér at KAUST has openings for three postdoctoral fellowships in Data-driven Machine Learning for unbiased Discovery of Generative Models with special reference
-
on the development of new methods integrating a variety of data types (remote sensing, geology, geophysics, geochemistry) for geological modelling and advanced exploration targeting of mineral deposits