Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- NEW YORK UNIVERSITY ABU DHABI
- University of Luxembourg
- Cornell University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Rutgers University
- CNRS
- Oak Ridge National Laboratory
- Technical University of Munich
- Brookhaven National Laboratory
- Harvard University
- Inria, the French national research institute for the digital sciences
- Leibniz
- Radboud University
- THE UNIVERSITY OF HONG KONG
- Technical University of Denmark
- UNIVERSITY OF SYDNEY
- Umeå universitet stipendiemodul
- University of Minnesota
- University of the Aegean(UoA)
- AALTO UNIVERSITY
- Aalto University
- Argonne
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Avignon Université
- Bar Ilan University
- Bilkent University
- Biobizkaia Health Research Institute
- Carnegie Mellon University
- Chalmers University of Technology
- Constructor University Bremen gGmbH
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- FAPESP - São Paulo Research Foundation
- Institute of Mathematics of the Polish Academy of Sciences
- Iowa State University
- Istituto Italiano di Tecnologia
- Jönköping University
- Leiden University
- Max Planck Institute for Astrophysics, Garching
- National Aeronautics and Space Administration (NASA)
- Pennsylvania State University
- Princeton University
- SUNY Polytechnic Institute
- Stanford University
- Texas A&M University
- The Hebrew University of Jerusalem
- The University of Arizona
- University of Colorado
- University of Connecticut
- University of Florida
- University of Kansas Medical Center
- University of London
- University of Miami
- University of Nevada, Reno
- University of North Carolina at Chapel Hill
- University of Oxford
- University of Oxford;
- University of Sydney
- University of Texas at Arlington
- University of Washington
- University of Zurich
- Université Savoie Mont Blanc
- Vrije Universiteit Amsterdam (VU)
- Wayne State University
- 55 more »
- « less
-
Field
-
storage and analysis solutions (e.g., key-value stores, object or document storage, graph analytics systems) deployed on HPC computational and storage systems. Co-authorship of peer-reviewed publications
-
real-world applications in green chemistry and industrial synthesis. Key Responsibilities: Develop and implement AI/ML models (e.g., graph neural networks, transformer-based models) for retrosynthetic
-
records in hydrology, AI/ML, or water resources engineering. Preferred Qualifications Experience with: LLMs, graph neural networks, transformers, or physics-informed neural networks (PINNs). Cloud computing
-
that ingest raw on-chain data (blocks, transactions, smart-contract events) from public blockchains into research-grade databases Developing statistical, graph, and/or machine learning models to study
-
Quantum computing and Graph theory In this role, you will be responsible for conducting research on graph theoretic approaches to design quantum photonic experiments. Additionally, the position involves
-
development experience GTSAM or similar factor graph optimization frameworks Field robotics deployment in challenging environments Multi-sensor calibration and fusion Commitment to open-source development and
-
data (unstructured and structured text, knowledge graph, etc) · Design and conduct experiments to test hypotheses with applied statistics · Analyze and interpret results, present research
-
differential equations, computational fluid dynamics and material science, dynamical systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology
-
accuracy in link-tracing designs (e.g. Respondent driven sampling) Partial graph data collection strategies for networks (e.g. Aggregated Relational Data) Large scale models for anomaly detection on graphs
-
CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
metabolomics data from clinical studies. Apply deep learning models (e.g., autoencoders, variational autoencoders, graph neural networks) for biomarker discovery, disease classification, and patient