-
sensing, advanced signal processing, machine learning, and longitudinal behavioral analysis to establish clinically meaningful digital biomarkers of eating behavior. These biomarkers will quantify fine
-
Method (FEM), Boundary Element Method (BEM), and/or with the basic principles of Machine Learning and/or Model Order Reduction or I have a profound interest in these topics. •During my courses or prior
-
apply advanced signal data analysis approaches, including machine learning and AI-based modelling Quantify early brain maturation markers and relate them to visuomotor developmental outcomes Work closely
-
. Three connected threads make up the research: Discovery: what patterns hide across the facets? - Using unsupervised machine learning (clustering, dimensionality reduction), topological data analysis and
-
university. This will allow you to gain the skills required to successfully complete your PhD and develop yourself as an independent researcher. Moreover, opportunities are provided to acquire deeper knowledge
-
of virtualizing and forecasting the evolution of the radio-electric environment. In the second phase, the candidate will investigate machine learning and AI-driven algorithms for NTN channel prediction, enabling
-
to candidates who combine research expertise in the fields of business analytics, machine learning for business decision-making and AI-driven process optimisation with expertise in the impact, ethical