89 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" PhD positions in France
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Your Job In this thesis you will work in the European Space Agency (ESA)-funded project Fast-EO (Fostering Advances in Foundation Models via Unsupervised and Self-Supervised Learning for Downstream
-
Your Job In this thesis you will work in the European Space Agency (ESA)-funded project Fast-EO (Fostering Advances in Foundation Models via Unsupervised and Self-Supervised Learning for Downstream
-
, and physics-informed machine learning open new possibilities for establishing grid foundation models. However, it is still unclear which model structures is most capable and suitable, how well they
-
foundation models and representation learning Design reproducible data and experimental workflows for model training, adaptation and evaluation on selected EO applications Investigate MLOps pipelines
-
clinical trials particularly challenging. The ENDOMIC team (https://endomic.github.io) aims to develop artificial intelligence and statistical-learning methods capable of identifying robust and clinically
-
world-renowned research environment. Our teams are made up of passionate and dedicated experts, providing a stimulating setting for learning and collaboration. You will have access to cutting-edge
-
Your Job Develop a reinforcement learning (RL) controller for a liquid–liquid gravity settler, trained entirely offline in a simulated environment Use existing physics-informed neural network (PINN
-
consumption on complex algorithmic or cognitive tasks. This project is part of the ELEVATE MSCA Doctoral Network (https://www.elevate-dn.eu/) and co-supervised by our partners at the university of
-
advances the progress of research. Your tasks involve: Developing a machine learning-based model to map satellite retrievals to ground based air pollutant concentrations Conducting error assessment on the
-
Your Job Generating growth models of human neurodevelopment, using unsupervised and supervised learning approaches Optimising leaning models to predict clinical phenotypes and cognitive maturation