Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
efficient compression performance, each module relies on a rigid, manual design. Furthermore, these modules cannot be jointly optimized end-to-end. In parallel, recent years have seen the resounding success
-
for cryo-electron microscopy (cryo-EM) data analysis, modeling conformational heterogeneity, and identifying optimal binding candidates, by integrating image analysis and docking across multiple structural
-
meters. These instruments produce large amounts of data that require several processing steps before the relevant physical variables are obtained. Typically, machine learning methods are used to optimize
-
heterogeneous models can be combined within a unified framework to optimize trade-offs between accuracy, robustness, and computational cost. These contributions aim at advancing the understanding of adaptive
-
and the endoplasmic reticulum. The project will combine approaches in cell biology, biochemistry, and advanced imaging. The candidate will contribute to the development and optimization of experimental
-
, optimal perturbations, resolvent methods) of Görtler vortices, identifying dominant modes and regions amenable to control. -Objective 2: Reduced-order modelling via autoencoders and discovery of explicit
-
switching in corresponding devices. In this project, we first plan to make optimized engineering of metal stacking involving light elements promoting the required orbital polarization and demonstrate
-
investigate the optimization of inductive coupled plasma chemical vapor deposition (ICPCVD) and plasma enhanced chemical vapor deposition (PECVD) thin films. A methodical approach, combining advanced
-
the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will contribute to the development and optimization of an experimental setup
-
areas such as auction theory, resource allocation, and stochastic optimization. The interdependent value model, introduced by Milgrom and Weber (1982), describes settings where an agent's valuation