Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Washington
- Oak Ridge National Laboratory
- CNRS
- Delft University of Technology (TU Delft)
- NEW YORK UNIVERSITY ABU DHABI
- National Aeronautics and Space Administration (NASA)
- Argonne
- Duke University
- Northeastern University
- Pennsylvania State University
- Stanford University
- Technical University of Munich
- University of Oxford
- Aarhus University
- Baylor College of Medicine
- Chalmers University of Technology
- EPFL
- University of Minnesota
- University of North Carolina at Chapel Hill
- Cornell University
- Eindhoven University of Technology (TU/e)
- University of Maryland, Baltimore
- Washington University in St. Louis
- AALTO UNIVERSITY
- European Space Agency
- FAPESP - São Paulo Research Foundation
- Harvard University
- KTH Royal Institute of Technology
- Leiden University
- Michigan Technological University
- Rutgers University
- The Ohio State University
- Yale University
- Carnegie Mellon University
- Lawrence Berkeley National Laboratory
- Mälardalen University
- UNIVERSITY OF SYDNEY
- Umeå University
- University of Luxembourg
- University of Sydney
- Virginia Tech
- George Washington University
- Indiana University
- KU LEUVEN
- King's College London
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- New York University
- SUNY University at Buffalo
- SciLifeLab
- Singapore-MIT Alliance for Research and Technology
- Texas A&M University
- The University of Arizona
- UNIVERSITY OF HELSINKI
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of Amsterdam (UvA)
- University of California
- University of California Irvine
- University of Gdansk
- Vrije Universiteit Brussel
- Aalborg University
- Blekinge Institute of Technology
- Broad Institute of MIT and Harvard
- Computer Vision Center
- DURHAM UNIVERSITY
- Deutsches Elektronen-Synchrotron DESY
- European University Institute
- Forschungszentrum Jülich
- Great Bay University
- Inria, the French national research institute for the digital sciences
- Institute for bioengineering of Catalonia, IBEC
- International Iberian Nanotechnology Laboratory (INL)
- Iowa State University
- Lunds universitet
- Massachusetts Institute of Technology
- National Energy Technology Laboratory (NETL)
- Princeton University
- Purdue University
- Radboud University
- South Dakota Mines
- Stony Brook University
- Texas A&M AgriLife
- Texas A&m Engineering
- University of Florida
- University of Lund
- University of New Hampshire
- University of Oxford;
- University of South Carolina
- University of Texas at Arlington
- University of Texas at Dallas
- University of Vermont
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- ;
- ARCNL
- Aarhus University (AU)
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Beijing Academy of Quantum Information Sciences
- Biophysical and Biomedical Measurement Group - NIST
- Boston University
- Bournemouth University;
- Brookhaven National Laboratory
- 90 more »
- « less
-
Field
-
develop algorithms for this purpose. The group collaborates with several national and international research groups, edits one of the major journals on data privacy (Transactions on Data Privacy), and has
-
constraints. The postdoc will work at the interface of reinforcement learning and computational epidemiology, focusing on the development of new reinforcement learning algorithms. The project will consider
-
using advanced seismological and geophysical methods, including surface-wave tomography, receiver functions, reflected seismic phases, joint inversion, and Distributed Acoustic Sensing. The main objective
-
and efficiency of life sciences research. Developing the algorithms, infrastructure, and governance necessary for such analysis can simultaneously enhance hypothesis generation, computational modeling
-
with Prof. Mauro Maggioni on problems that include: analysis and algorithms on graphs, geometric analysis of high dimensional data sets, dynamic data sets, scientific machine learning, high-dimensional
-
distributed decision-making. Applicants must have a PhD in Electrical Engineering, Mechanical Engineering, Computer Engineering, Applied Mathematics, Mathematics, or a closely related discipline, and are within
-
cleaning, filtering, etc.).•Expertise in data fusion and relevant algorithms (deep learning, generative AI, kernel methods, Bayesian methods). •Preferably, experience with high-content imaging or cell
-
parameters that determine energy fluxes and permafrost dynamics using inverse problems techniques. The developed algorithms and methods will be integrated into the LPJmL Dynamic Global Vegetation Model. Close
-
and in industry. We value the qualities that an even distribution of age and gender, as well as ethnic and cultural diversity, can contribute to the organisation. Application The application is to be
-
expected to actively contribute to the project, work collaboratively as part of the research team, and perform the following major tasks: Conduct theoretical analysis, algorithm development, and simulation