Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Utrecht University
- Chalmers University of Technology
- DAAD
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- ; The University of Manchester
- ; University of Warwick
- Forschungszentrum Jülich
- Ghent University
- University of Groningen
- ;
- ETH Zurich
- Fraunhofer-Gesellschaft
- SciLifeLab
- Technical University of Munich
- ; Loughborough University
- ; University of Sheffield
- CNRS
- Cranfield University
- Curtin University
- Delft University of Technology (TU Delft)
- Technical University of Denmark
- University of Adelaide
- ; Swansea University
- ; University of Nottingham
- Abertay University
- Copenhagen Business School , CBS
- ETH Zürich
- Heidelberg University
- KNAW
- Leibniz
- UNIVERSIDAD POLITECNICA DE MADRID
- Umeå University
- University of Bremen
- University of Bremen •
- University of Oslo
- Universität Hamburg •
- Vrije Universiteit Amsterdam (VU)
- ; Manchester Metropolitan University
- ; University of Birmingham
- ; University of East Anglia
- ; University of Leeds
- ; University of Reading
- ; University of Southampton
- ; University of Surrey
- Arizona State University
- Aston University
- CWI
- Heidelberg University •
- Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ
- Institute of Physics, Zagreb
- Instituto de Engenharia Mecânica
- Justus Liebig University Giessen •
- Karlsruhe Institute of Technology •
- Luxembourg Institute of Science and Technology
- Maastricht University (UM)
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Monash University
- Mälardalen University
- Saarland University •
- Swedish University of Agricultural Sciences
- TU Bergakademie Freiberg
- Tampere University
- Tilburg University
- Universiteit van Amsterdam
- University of A Coruña
- University of Bergen
- University of Bonn •
- University of Göttingen •
- University of Iceland
- University of Konstanz •
- University of Münster •
- University of Nebraska Lincoln
- University of Nebraska–Lincoln
- University of Nottingham
- University of Southern Denmark
- University of Strasbourg
- University of Stuttgart •
- University of Sydney
- University of Twente
- Université Gustave Eiffel
- Université de Sherbrooke
- Wageningen University and Research Center
- 74 more »
- « less
-
Field
-
Some experience with numerical simulations such as the Finite Element Method (FEM) and Multi-Body Simulation (MBS) is a plus. We offer: a fascinating understanding at mobility in general with a
-
asymptotic analysis and other perturbation methods, and numerical, i.e. an existing in-house code will be modified to achieve the objectives. This project offers the unique opportunity to develop strong skills
-
further developing both the experimental and data analysis methods that are currently used within the research team. The student will learn how to use the MMI apparatus, gaining knowledge of, for example
-
equations, and numerical methods. Advanced programming skills in languages such as Python, C++, MATLAB, or R. Strong academic curiosity and enthusiasm for the chosen research area. Application Process To
-
in an engineering or related subject with experience of mechanics, finite element methods and numerical analysis. Please state your entry requirements plus any necessary or desired background A first
-
and very good knowledge in quantitative and qualitative research methods Good knowledge of statistical software (e.g. SPSS or STATA or R or JASP) Strong commitment and the ability to work in a team
-
a strong specialization in Sound and Vibration (We also welcome applications from candidates who will graduate soon). Solid knowledge of structural mechanics and numerical methods Proficiency in
-
spanning a broad range of research areas - including methods for high-dimensional data and data integration, especially in molecular medicine; mathematical modelling of cancer; probabilistic modelling and
-
of data-driven approaches within these multi-parameter models to produce faster and more robust correlations and tools that can be incorporated within industrial methods and have an impact on future designs
-
qualitative, participatory research, including ethnographic methods; develop recommendations for (co-creating) responsible implementation and scaling pathways for innovative early testing in hereditary cancer