Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Argonne
- University of North Carolina at Chapel Hill
- Princeton University
- European Space Agency
- Leibniz
- National Aeronautics and Space Administration (NASA)
- Oak Ridge National Laboratory
- Technical University of Denmark
- Technical University of Munich
- The Ohio State University
- University of Oxford
- Virginia Tech
- Baylor College of Medicine
- Central China Normal University
- Chalmers University of Technology
- Chinese Academy of Sciences
- Cornell University
- Fudan University
- Johann Radon Institute for Comp. and Applied Mathematics
- King Abdullah University of Science and Technology
- Linköping University
- Los Alamos National Laboratory
- NEW YORK UNIVERSITY ABU DHABI
- New York University
- Purdue University
- Texas A&M University
- The University of Iowa
- UNIVERSITY OF SYDNEY
- Umeå University
- University of Arkansas
- University of British Columbia
- University of Lund
- University of Minnesota
- University of Minnesota Twin Cities
- University of Texas at Arlington
- University of Virginia
- University of Washington
- WIAS Berlin
- Western Norway University of Applied Sciences
- Zintellect
- 32 more »
- « less
-
Field
-
applications as Research Assistant Position (f/m/d) (Ref. 25/10) in the Research Group “Numerical Mathematics and Scientific Computing“ (Head: Prof. Dr. V. John) starting September 1, 2025. The position is
-
multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor
-
machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
-
testing, and advanced process simulation, with the objective of optimizing grinding performance and enhancing resource recovery. The ideal candidate will have a strong background in mineral processing
-
Associate. This postdoctoral researcher will work under the supervision of Prof. Bo Ji and Prof. Lingjia Liu, conducting research on immersive communication/computation-aware optimization of next-generation
-
advancements and practical implementations optimized for modern HPC systems. The postdoc will primarily contribute to one or more of the following research areas: Development of efficient numerical linear
-
with neuroimaging, numerical mathematics, optimization, inverse problems, software development, motivation and research interests. The location for this research will be the workgroup of Prof. Dr
-
institutions, and a research and development provider for numerous companies throughout the world. The INM is a member of the Leibniz Association and has about 250 employees. The INM research group
-
-of-the-art sparse algorithm in matrices, tensor and networks for large-scale numerical, scientific and AI models and disseminating findings through publications and presentations in top-tier peer-reviewed
-
to the above requirements • Strong background in optimization and partial differential equations • Strong background in numerical mathematics and computing • Machine learning skills are welcome • English skills