Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
acquisition and statistical methods is an advantage. Experience with numerical simulations (FEM). You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent
-
) for general criteria for the position. Preferred selection criteria Background/experience within the following fields: Aeroacoustics Fluid mechanics Numerical methods Wind energy Personal characteristics
-
sensitive to malicious deviations while remaining resource efficient. Solutions must operate effectively on network gateways or even capable IoT devices. The research will investigate statistical methods
-
skills and experience with numerical modeling and particle-based methods Interest in working closely with experimentalists Excellent written and spoken English skills Experience with parallel programming
-
specific focus on cost-effectiveness, emission reduction, and social acceptability. The candidate will be involved in various (inter-)national initiatives and engaged with different political decision makers
-
of recycled aluminium. More specifically, the project will focus on advanced numerical methods to understand how defects and different microstructures affect the strength of mega-cast components. As a PhD
-
overall or higher or equivalent. Have an experience with analytical and numerical solution methods for partial differential equations and working knowledge of Matlab and Latex. A full list of selection
-
, advances global implementation of CCS at gigatonne scale through industry-driven research and by training the next generation of experts. Duties of the position Development of new theory and methods for Full
-
structured PhD curriculum. These meetings will include presentations by faculty members on various research topics and methods, offering students valuable insights into different approaches and techniques
-
in a degree, ideally at Masters level, in an Engineering subject, Physics, Mathematics, Computer Science or other quantitative background. Knowledge in fluid mechanics, ocean waves, numerical methods