4 bayesian-updating PhD positions at Eindhoven University of Technology (TU/e) in Netherlands
-
varying material properties. The resulting response will be analyzed using techniques such as Monte Carlo simulations. Identifying the variability of the model parameters using Bayesian inference
-
chemistry concepts (desirable). Familiarity with chemical or biological databases (e.g., ChEMBL, PubChem, PDB) is a plus. Experience with Bayesian modelling, transfer learning, few-shot learning, or other
-
approaches have not been updated in the era of IoT and AI. The overarching aim of this PhD research is to develop a novel data-driven safety assessment and certification framework, leveraging multiple data
-
CIM system capable of performing key learning operations, such as vector-matrix multiplication and weight updates, within the memory itself, thereby enhancing energy efficiency and computational