Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- Newcastle University
- Forschungszentrum Jülich
- Aalborg University
- Imperial College London
- Inria, the French national research institute for the digital sciences
- Instituto de Engenharia Mecânica
- NTNU - Norwegian University of Science and Technology
- Nature Careers
- Swansea University
- Technical University of Denmark
- Universitat Autonoma de Barcelona
- University of Bristol;
- University of Nottingham
- University of Oxford
- University of Tübingen
- ;
- AMBER laboratory
- Aalborg Universitet
- DAAD
- Delft University of Technology (TU Delft)
- ETH Zürich
- Empa
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- KU LEUVEN
- Linköping University
- NTNU Norwegian University of Science and Technology
- Queensland University of Technology
- The Belgian Nuclear Research Centre
- UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA
- University of Bergen
- University of Bristol
- University of Sussex
- University of Twente
- University of Twente (UT)
- 27 more »
- « less
-
Field
-
, or modelling. Familiarity with computational tools (Matlab, Python, or finite element analysis). Analytical thinking and enthusiasm for interdisciplinary research. Ability to work independently and as part of a
-
phonon eigenvalues and transport properties using computational methods (density-functional theory, molecular dynamics, and finite-element simulation). It predicts the intrinsic phononic features
-
implants using finite element analysis and topology optimization. Join us to shape the future of personalized orthopedics Job description Faculty of Mechanical Engineering at TU Delft Are you passionate
-
functions associated with the failure mechanisms using high-fidelity Finite Element Analysis. Perform sensitivity and uncertainty analysis to uncover the most significant variables in the derived limit states
-
engines. The development of robust damper devices that reduce the vibration levels is of paramount importance. The advanced large-scale finite element models of structures will be applied together
-
improved accuracy for unsteady flow problems. Their principal strength is the lower numerical dispersion and dissipation they introduce compared with the low-order finite volume and finite element schemes
-
(neural mass models) as well as at the neuron level (neural network models) including plasticity. Electric fields will be estimated based on finite-element method models. The project can be partly adapted
-
reinforcement tasks to work with, enhance or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along
-
to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so-called lean alloys, and material systems with a high tolerance to impurities from
-
/high level Matlab and Python programming is required) and finite element method modeling. The candidate will participate in international collaborations and meetings and will have the opportunity