Sort by
Refine Your Search
-
based on a mechanobiological model. Innovative nature and ambitiousness of the project: The Post-Doc will simulate the shaping of porous micro-architecture by considering the dynamics of tissue ingrowth
-
is primarily methodological, emphasizing the synergy between physics-based modeling and data-driven approaches, the specific application domain can be tailored to your expertise and interests. In fluid
-
, particularly numerical fluid mechanics, reduced-order modelling, or machine learning. You are passionate about performing original research at the intersection of these different subjects, and interested in
-
, Mechanics of Materials, Elasto-Plasticity Topic open: Model-free data-driven approaches offer an interesting alternative to classical constitutive model-based approaches, and to machine-learning approaches
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will contribute to the development of models
-
energy share for the year 2030. This would need a significant shift from the rotating synchronous generator dominated power generation to power electronic converter based power generation to allow
-
additive manufacturing. Building on preliminary findings that demonstrate enhanced material properties produced off Earth, the project aims to: Model microgravity phenomena: Simulate manufacturing processes
-
Wave Control – Developing theoretical models for wave propagation and control in complex, lossy biological environments. 2. Adaptive Wave Control Architectures – Designing and implementing reconfigurable
-
to the Institute. One of the challenges will be to establish academic partnerships that will enable the projects to be carried out successfully, particularly the experimental aspects. The job position will be based
-
knowledge on the aerodynamic systems ideally fixed and/or floating wind turbines. Knowledge about data-based control would be highly appreciated. Project description Supervisor: Mohamed HAMIDA/Franck PLESTAN