Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of North Carolina at Chapel Hill
- Argonne
- Leibniz
- Princeton University
- European Space Agency
- 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
- Forschungszentrum Jülich
- 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 Maine
- 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
- 34 more »
- « less
-
Field
-
to produce optimal designs. Applicants should have skills in modelling, familiarity with partial differential equations, and be familiar with python. They will have, or be close to completing, a PhD in
-
for tens of kilometers length. In this project, you as a postdoctoral researcher will mainly carry out: optimization of both fiber preform preparation and fiber drawing processes so as to reliably fabricate
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 days ago
other sciences. A strong managerial, administrative, and technical staff supports this instructional mission. Duties of these employees range from budget planning and management for the numerous research
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
other sciences. A strong managerial, administrative, and technical staff supports this instructional mission. Duties of these employees range from budget planning and management for the numerous research
-
requires not only expertise in LLMs and machine learning but also an understanding of the unique challenges posed by scientific data, which often includes large-scale numerical datasets, complex simulations
-
CO2 capture from the atmosphere. Your objectives will include to: Develop new optimization and/or machine-learning based reconstruction and segmentation algorithms to improve image quality in time
-
Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms for smart energy systems to enable smart and healthy
-
in adaptive immune systems (e.g., co-evolution of bacteria and phages, as well as T and B cells with pathogens). • Physics-informed machine learning of biophysical systems (e.g., developing optimal
-
power (CSP) systems optimization, computational heat transfer and radiative transport using sophisticated numerical modeling and machine learning approaches for forward and inverse problems in radiation
-
that integrate simulation, machine learning, and data analysis. Numerical optimization methods (e.g. machine learning including deep neural networks, reinforcement learning, data mining, genetic algorithms