15 machine-learning-"https:" "https:" "https:" "https:" "https:" scholarships in France
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
-
Field
-
for Integrative Genomics The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative- genomics/) at Institut Pasteur, headed by Laura
-
surrogate models and experimental data from a pilot-scale settler are available. The project offers close supervision from doctoral researchers in machine learning and process control. Your Profile
-
, 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
-
Your Job In this position, you will be an active part of our AI Consulting Team. Together with our partners, we develop new and innovative applications of Machine Learning. You will connect to
-
in terms of detection accuracy and reliability Your Profile Ongoing masters degree studies in computer science, data science, engineering, machine-learning, or other closely related field Good
-
programming neural networks, machine learning theory and machine learning software frameworks (e.g., PyTorch or JAX). Curiosity-driven personality with the ability for creative and analytical thinking
-
applications and algorithms that can leverage associative memories, including machine learning and LLMs, genomics, and classical data science methods (tree models, decision trees, finite automata). We
-
design of hybrid electrical–optical computing architectures and (2) develop learning rules that are both technology-feasible and well-suited for machine-learning workloads. The project will consist among
-
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 In this position, you will join our Simulation and Data Lab for AI and Machine Learning for Remote Sensing . The lab advances interdisciplinary research and operational services by combining