Sort by
Refine Your Search
-
models of protein structures and complexes for application in life sciences. In addition, we develop and maintain PLINDER, a resource designed to drive breakthroughs in deep learning-based protein-ligand
-
. In addition, we develop and maintain PLINDER, a resource designed to drive breakthroughs in deep learning-based protein-ligand complex prediction, as well as the Protein Universe Atlas, an interactive
-
. In addition, we develop and maintain PLINDER, a resource designed to drive breakthroughs in deep learning-based protein-ligand complex prediction, as well as the Protein Universe Atlas, an interactive
-
, LiDAR, field data, and other data for enhanced forest monitoring. Develop deep learning (e.g., Transformers and CNNs) algorithms to integrate various datasets, such as tree species annotations, climate
-
(e.g., deep learning, explainable and physics-informed AI, large language models, etc.). The position will be developed within the funded project entitled “UrbanTwin: An urban digital twin for climate
-
progress Profile Required PhD in Computer Science with the focus on AI Proficiency in python programming Strong expertise in machine learning and deep learning frameworks (especially PyTorch) Demonstrated