Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- University of Sheffield
- NIST
- Nature Careers
- Oak Ridge National Laboratory
- ;
- Chalmers University of Technology
- Technical University of Denmark
- Cranfield University
- ETH Zurich
- Fraunhofer-Gesellschaft
- Hong Kong Polytechnic University
- Carnegie Mellon University
- DAAD
- Duke University
- Harvard University
- King Abdullah University of Science and Technology
- Leibniz
- Northeastern University
- Princeton University
- Technical University of Munich
- Texas A&M University
- University of Glasgow
- University of Groningen
- University of Miami
- University of New South Wales
- University of Nottingham
- University of Texas at Austin
- University of Vienna
- ; University of Leeds
- ; University of Nottingham
- ; University of Southampton
- ; University of Sussex
- AALTO UNIVERSITY
- Aarhus University
- American University in Cairo
- Aristotle University of Thessaloniki
- CEA
- CITMAga - Galician Center for Mathematical Research and Technology
- CNRS
- CNRS-ENS-UCBL
- CSIRO
- California Institute of Technology
- Central Michigan University
- Curtin University
- Delft University of Technology (TU Delft); Delft
- ETH Zürich
- Empa
- Forschungszentrum Jülich
- Free University of Berlin
- Georgia Southern University
- Ghent University
- Idaho State University
- Institut Pasteur
- Instituto Superior Técnico
- Johannes Kepler University
- Lansing Community College
- Linköping University
- Linnaeus University
- Los Alamos National Laboratory
- Manchester Metropolitan University
- Massachusetts Institute of Technology (MIT)
- Max Planck Institute for Sustainable Materials GmbH, Düsseldorf
- NEW YORK UNIVERSITY ABU DHABI
- NTNU - Norwegian University of Science and Technology
- Pennsylvania State University
- RWTH Aachen University
- Technical University Of Denmark
- The University of Auckland
- The University of Queensland
- UNIVERSIDAD POLITECNICA DE MADRID
- UNIVERSITY OF GREENWICH
- UNIVERSITY OF VIENNA
- Umeå University
- Umeå universitet stipendiemodul
- University of Adelaide
- University of Bath
- University of Birmingham
- University of Bristol
- University of Dayton
- University of Greenwich
- University of Minnesota
- University of Minnesota Twin Cities
- University of Nebraska–Lincoln
- University of North Carolina System
- University of Southern Denmark
- University of Texas at Arlington
- University of Texas at El Paso
- University of Toronto
- University of Twente
- Université Côte d'Azur
- Université Savoie Mont Blanc
- Université de Technologie de Belfort-Montbéliard
- WIAS Berlin
- École nationale des ponts et chaussées
- 84 more »
- « less
-
Field
-
codes, finite element or finite different methods, peridynamics, phase field models, multi-objective optimisation methods, CAD. Demonstrated ability to adapt to fast-changing project direction and learn
-
of new EEG and MEG neuroimaging and mc-tCS simulation approaches based on realistic head volume conductor models using modern finite element methods as well as sensitivity analysis. The new methods will be
-
neuroimaging and mc-tCS simulation approaches based on realistic head volume conductor models using modern finite element methods as well as sensitivity analysis. The new methods will be applied in close
-
time standing on hard and/or uneven surfaces. Lifting, climbing ladders, squatting, twisting, using sprayers, walking on a variety of surfaces, digging, planting and exposure to the elements
-
a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics doctoral program
-
of the project team. Key Skills & Experiences This project will require previous expertise in computational mechanics (preferably finite element methods – with analysis being undertaken in open-source code MoFEM
-
": based on the microlocal analysis of the problem, an efficient alternative to the standard Finite Element approach can be designed. The main aim of this postdoctoral project will be to adapt the methods
-
astrophysics, and uses a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics doctoral
-
experience · Be a proficient programmer, including in Python, with good coding habits; experience in NEURON, COMSOL, other finite element modeling software, and / or git would be an asset; experience
-
demonstrated ability to communicate and interact with a diverse range of stakeholders and students. Demonstrated knowledge in Quasi-Monte Carlo methods and/or finite element analysis and/or machine learning is