Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Technical University of Denmark
- The University of Arizona
- University of Luxembourg
- University of Washington
- Wayne State University
- KINGS COLLEGE LONDON
- New York University
- Princeton University
- Purdue University
- Technical University of Munich
- University of North Carolina at Chapel Hill
- University of Southern Denmark
- University of Texas at Arlington
- ;
- Bar Ilan University
- Bilkent University
- CEA
- CNRS
- DURHAM UNIVERSITY
- Durham University
- Georgia State University
- Heriot Watt University
- ICN2
- Indiana University
- Leibniz
- New York University of Abu Dhabi
- Northumbria University;
- Oak Ridge National Laboratory
- Rutgers University
- THE UNIVERSITY OF HONG KONG
- Texas A&M University
- The Hebrew University of Jerusalem
- The Ohio State University
- UNIVERSITE PARIS CITE
- UNIVERSITY OF SYDNEY
- Umeå University
- University of Arkansas
- University of Central Florida
- University of Florida
- University of Groningen
- University of Nevada, Reno
- University of Sydney
- University of Virginia
- University of Zurich
- Virginia Tech
- 38 more »
- « less
-
Field
-
quantum information theory, algebraic topology, polyhedral combinatorics, graph theory, and optimization are strongly encouraged to apply. For more details on the project, visit open positions page . To be
-
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
-
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
-
differential equations, computational fluid dynamics, material science, dynamical systems, numerical analysis, stochastic analysis, graph theory and applications, mathematical biology, financial mathematics
-
graph neural networks for complex sensor networks such as those involved in brain imaging Develop and test data-driven methods for image and video processing for microendoscopy. Key Duties and
-
Division, New York University Abu Dhabi, seeks to recruit a post-doctoral associate to work on one or more of the following topics: Mathematical Physics, Spectral Theory, Quantum Chaos, Large Graphs and
-
computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL
-
the development of reports, graphs, charts, and other visuals required. Proficiency in Word, Excel, and PowerPoint required. Preferred Qualifications: Focus on environmental epidemiology and cancer research
-
preliminary analysis of the data using graphs, charts or tables to highlight the key points of the research results collected in accordance with the research protocols as stipulated. Prepare and present
-
new methods incorporating transformer models, graph neural networks, and self-supervised learning approaches that can extract deeper biological insights from genomic data. Join us in this exciting