Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Virginia Tech
- Nature Careers
- Cornell University
- Inria, the French national research institute for the digital sciences
- Technical University of Munich
- Delft University of Technology (TU Delft)
- Duke University
- National Hellenic Research Foundation
- Northeastern University
- Universidade de Coimbra
- University of Luxembourg
- Aalborg University
- Argonne
- Central China Normal University
- Chalmers University of Technology
- Chalmers tekniska högskola
- Chinese Academy of Sciences
- Delft University of Technology (TU Delft); Published today
- ETH Zürich
- FAPESP - São Paulo Research Foundation
- Forschungszentrum Jülich
- Fudan University
- INRAE
- Japan Agency for Marine-Earth Science and Technology
- KTH Royal Institute of Technology
- Karlsruher Institut für Technologie (KIT)
- King Abdullah University of Science and Technology
- Lawrence Berkeley National Laboratory
- Linköping University
- Lunds universitet
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology (MIT)
- NEW YORK UNIVERSITY ABU DHABI
- SUNY University at Buffalo
- South Dakota Mines
- Technical University of Denmark
- Texas A&M University
- The Ohio State University
- The University of Arizona
- The University of Edinburgh;
- UNIVERSITY OF VIENNA
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of California
- University of California, Merced
- University of Central Florida
- University of Florida
- University of Hamburg
- University of Lund
- University of Miami
- University of Minho
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Southern California
- University of Southern California (USC)
- University of Warsaw
- Université de Namur
- Zintellect
- 49 more »
- « less
-
Field
-
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
-
characterization of germanium detectors, develop advanced Monte Carlo models and AI-driven analysis tools to optimize detector response, and to promote precision medical imaging and low energy dark matter searches
-
project aimed at utilizing 3D physics-based wave propagation simulations up to 10 Hz to improve ground motion estimates in urbanized areas in California. The central goals are to unify and optimize
-
theoretical models and methods as well as in implementing numerical optimization techniques Interest in working closely with experimentalists Detailed knowledge of quantum physics and experience with quantum
-
simulations and multiscale spatial-omics data. • Integrate uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments
-
programme will proceed in three main phases. In the initial phase, you will develop and optimize physical and numerical models describing the electron optics of the complete probe-forming column, including
-
, their modelling through mathematics and numerical simulations, and their control and optimization. Our belief is that a proper understanding of systems requires a modelling step, which allows to identify causal
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
measurements of growth and expression levels of ribosomes and enzymes in the model organism Escherichia coli [5]. The proposed postdoc position involves the numerical simulation, analysis and inference
-
ocean environments, ensure safe and sustainable operations. Our activities are centered on numerical modelling (e.g. CFD, FEA, FSI, optimization, machine learning), but also include experiments and real
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be