Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
FAU DCN-AvH. Chair for Dynamics, Control, Machine Learning and Numerics | Germany, | Germany | 3 months ago
by Prof. Enrique Zuazua , invites applications for two (02) PhD research positions at the ERC CoDeFeL , Control for Deep and Federated Learning project. DEADLINE: Wed. March 25, 2025 Position Details
-
installations such as a deep geological repository for nuclear waste is both a strategic necessity and a challenge. The Department of Actinide Thermodynamics of the Institute of Resource Ecology is looking for a
-
) on Foundation Models and/or Deep Learning for Imaging Problems. The Professorship for Machine Learning at TUM works on machine learning, artificial intelligence, and information processing. The current focus is
-
models. Your tasks: Research, development, and evaluation of Machine Learning and Deep Learning methods Prototype development Literature review Publication and presentation of scientific results in
-
Offer: Deep immersion in modern research on renewable fuels using state-of-the-art laboratory infrastructure. TUM is one of the most renowned universities worldwide. TUM's graduate school offers inspiring
-
of the GPN: Cluster 1: Partnership in development cooperation: access, accountability, and deep participation Cluster 2: Partnership in the global economy: agriculture, finance, and energy Cluster 3
-
the 01.10.2022. Your Responsibilities: You will work at the cutting edge of privacy-preserving deep learning research with a focus on one or more of the following topics: - Optimal model design for differentially
-
deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. We are seeking a researcher to join our team in an ERC project on DNA data storage
-
03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
-
03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and