Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- Technical University of Munich
- Argonne
- Oak Ridge National Laboratory
- Stanford University
- University of Washington
- University of Oxford
- University of North Carolina at Chapel Hill
- AALTO UNIVERSITY
- CNRS
- Technical University of Denmark
- University of Houston Central Campus
- Chalmers University of Technology
- National Aeronautics and Space Administration (NASA)
- Stony Brook University
- Texas A&M University
- University of Luxembourg
- ;
- Delft University of Technology (TU Delft)
- Durham University
- European Space Agency
- New York University
- Northeastern University
- The University of Arizona
- University of Groningen
- University of Maryland, Baltimore
- University of Southern Denmark
- University of Sydney
- Baylor College of Medicine
- DURHAM UNIVERSITY
- Delft University of Technology (TU Delft); Delft
- Heriot Watt University
- Indiana University
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- University of Bergen
- University of Minnesota
- University of Twente
- Virginia Tech
- Aix-Marseille Université
- Brookhaven Lab
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
- Forschungszentrum Jülich
- George Washington University
- Ghent University
- Hanyang University
- Imperial College London
- King's College London
- THE UNIVERSITY OF HONG KONG
- Texas A&M AgriLife
- The Ohio State University
- The University of North Carolina at Chapel Hill
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SYDNEY
- Umeå University
- University of Central Florida
- University of Florida
- University of Houston
- University of Oklahoma
- University of Turku
- University of Twente (UT)
- University of Twente (UT); Enschede
- University of Virginia
- Vrije Universiteit Brussel
- Yale University
- Aalborg Universitet
- Bocconi University
- Broad Institute of MIT and Harvard
- Brookhaven National Laboratory
- CWI
- California Institute of Technology
- Carnegie Mellon University
- Central China Normal University
- Copenhagen Business School
- Copenhagen Business School , CBS
- Cornell University
- Dartmouth College
- DePaul University
- ETH Zürich
- Eastern Kentucky University
- Ecole Centrale de Lyon
- Embry-Riddle Aeronautical University
- FAPESP - São Paulo Research Foundation
- Fred Hutchinson Cancer Center
- Fritz Haber Institute of the Max Planck Society, Berlin
- Fudan University
- Georgia Institute of Technology
- Harvard University
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Heriot-Watt University;
- ICN2
- Inria, the French national research institute for the digital sciences
- Institut of Mathematics of Marseille
- International Iberian Nanotechnology Laboratory (INL)
- Karolinska Institutet (KI)
- Leibniz
- Los Alamos National Laboratory
- 90 more »
- « less
-
Field
-
analysis, as many observed phenomena cannot be adequately modeled by stationary processes. The NOMOS project aims to develop a new generation of nonstationary models and algorithms for analyzing various
-
work hands-on with clinical data and build robust deep learning algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image
-
data to design robust, efficient deep learning algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates
-
, the next step in this project is to address sparse optimization for tensors. We propose the integration of randomized algorithms into sparse optimization frameworks for the purpose of completing
-
service quality. To address these challenges, advanced methodologies and algorithms are needed to design effective revenue and inventory management strategies for complex stochastic systems. The growing
-
focuses on combining novel genome engineering tools (e.g., CRISPR-based) and computational algorithms to enable regenerative cell therapies. Now, we are seeking a highly driven postdoctoral researcher
-
-disciplinary involving algorithmics, stochastic optimization, multi-criteria decision making, and data science. As part of the project, you will implement and test algorithms and further develop your skills in
-
nonstationary models and algorithms for analyzing various biological signals. The project will focus mainly on developing innovative models for biomedical signals with irregular cyclicity and exploring potential
-
strong overlap in the fields of topological quantum field theory, quantum condensed matter theory, and quantum computing and algorithms. Qualifications Applicants must hold a PhD in physics or a related
-
methods and tools for adaptive, AI-driven embedded algorithms to support real-time analytics and decision-making in IoT, wireless communication, and remote sensing systems Collaborate with multidisciplinary