Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Nature Careers
- California Institute of Technology
- Forschungszentrum Jülich
- Inria, the French national research institute for the digital sciences
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- CNRS
- Delft University of Technology (TU Delft)
- Oak Ridge National Laboratory
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- DTU Electro
- DURHAM UNIVERSITY
- Duke University
- Durham University
- Eindhoven University of Technology (TU/e)
- Michigan State University
- Technical University Of Denmark
- Technical University of Denmark
- University of Glasgow
- University of Kansas
- AI4I
- Aalborg University
- Argonne
- Blekinge Institute of Technology
- Brookhaven National Laboratory
- Center for Theoretical Physics PAS
- Central China Normal University
- Cranfield University
- Delft University of Technology (TU Delft); Published yesterday
- Delft University of Technology (TU Delft); yesterday published
- ETH Zurich
- Ecole Centrale de Lyon
- FAPESP - São Paulo Research Foundation
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
- Lawrence Berkeley National Laboratory
- McGill University
- Simons Foundation/Flatiron Institute
- Swansea University
- Swansea University;
- The University of Alabama
- University of Alabama, Tuscaloosa
- University of Aveiro
- University of Birmingham;
- University of California
- University of California, Berkeley
- University of Cambridge;
- University of Canterbury
- University of Sheffield
- University of Southern California
- University of Southern California (USC)
- University of Southern Denmark
- University of Texas Rio Grande Valley
- University of Texas at Austin
- Virginia Tech
- Weizmann Institute of Science
- Zintellect
- 46 more »
- « less
-
Field
-
supervision of Prof. Yingda Cheng on computational methods and modeling for kinetic equations. The research conducted will involve development of numerical methods, development and analysis of reduced order
-
MRI scanners with massively parallel transmit and receive technologies and multinuclear options, a number of DNP hyperpolarizers, and numerous (dozens) of other scanners and instruments placed in
-
abilities Very good knowledge of magnetohydrodynamics, programming and numerical methods. Desirable qualifications, experience and knowledge Experience in stellar evolution theory and models. Desirable skills
-
of scientific computing principles and applications, including numerical methods, simulation techniques, and computational modeling. Proficiency in using version control systems like Git for collaborative
-
students to advance project goals. Provide technical guidance and mentoring on CFD, numerical methods, and high-performance computing workflows. 15% - Publication & Dissemination Prepare and submit
-
Engineering, Physics, Applied Mathematics, or related discipline. Proven track record in numerical methods and computational fluid dynamics. Proven track record in machine-learning methods for computational
-
(multiscale, QSP, PBPK, PK-PD).Apply numerical methods, optimization, and parameter estimation to calibrate models to experimental/clinical data.Perform sensitivity and uncertainty analyses to assess robustness
-
, graduate, and undergraduate students to advance project goals. Provide technical guidance and mentoring on CFD, numerical methods, and high-performance computing workflows. 15% - Publication & Dissemination
-
requirements MSc in Mechanical/Maritime/Aeronautical Engineering, Physics, Applied Mathematics, or related discipline. Proven track record in numerical methods and computational fluid dynamics. Proven track
-
331: Electronics; Marwan Kannan ECSE 343: Numerical Methods in Eng; Roni Khazaka ECSE 353: Electromagnetic Fields & Waves; Odile Liboiron-Ladouceur ECSE 354: Electromagnetic Wave Propagation; Milica