Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
-
Field
-
King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 1 hour ago
machine learning, deep learning and computer vision (3) Experience in CCUS modeling with numerical reservoir simulators such as CMG, Eclipse, MRST or TOUGH-React (4) Experience in inverse modeling
-
an advantage: Neural representations, implicit neural fields, or other coordinate-based representations. Computer vision, 3D vision, geometric modeling, or structure-from-motion. Inverse problems
-
the right time . Our vision is to create digital twins of patients , modeling disease biology across scales—from genome to cell to circuit—to enable proactive, personalized intervention. By combining
-
., near-miss detection, predictive crash risk, multimodal exposure estimation). · Design, implement, and validate AI pipelines (computer vision, tracking, spatio-temporal modeling, edge learning
-
, including discrete and continuous decoding of hand and finger activity Develop egocentric computer-vision methods for understanding hands, objects, hand–object interactions, contacts, affordances, and task
-
Requisition Id 16411 Overview: The Analytics and AI Methods at Scale (AAIMS) group in the National Center for Computational Science (NCCS) is hiring a Research Scientist to advance the frontier of
-
research and applications, including remote sensing and computer vision, geospatial foundation models, LLM-enabled research workflows, API-based data and model integration, model selection, tuning
-
future job openings.More information can be found here . Department: Department of Computer Science Regime Full-time Let’s shape the future - University of Antwerp The University of Antwerp is a dynamic
-
Academic Job Category Faculty Bargaining Job Title Canada Impact+ Emerging Leader in AI-based Protein Modeling and Design Department Department of Biochemistry and Molecular Biology | Faculty of
-
will address how agents fuse heterogeneous sensory streams, including vision, LiDAR, inertial measurements, and radio signals, to maintain coherent spatial awareness and act reliably under uncertainty