Sort by
Refine Your Search
-
, the Section is in charge of the improvement of processing algorithms during the exploitation phase of a mission. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research
-
interfaces to share intermediate data for distributed training and processing, generating large traffic flows. Low and deterministic latency will be required for specific application in data centre for AI
-
-world environments inevitably face noisy data, distribution shifts, and situations their training never anticipated. Existing machine learning research focuses on limiting the impact of such disturbances
-
missions intelligently and safely without revealing sensitive information? As a PhD candidate, you will develop verifiable, secure-by-construction planning and control algorithms, contributing to trustworthy
-
, as well as the team’s work on applied mathematics and advanced numerics, via the ACT website (https://www.esa.int/gsp/ACT/) . You also are encouraged to visit the ESA website: https://www.esa.int
-
models; Learning with limited supervision; Generalisation beyond pretraining distributions The precise research agenda will be developed together with the successful candidate and may evolve throughout
-
count, area distribution, inter-cluster distance) to cellular Potts model (CPM) simulations of spheroid growth and drug responses. Integrating multi-modal data streams, such as live-cell imaging, bulk and
-
impacts of our missions and respond to the major scientific challenges of our times as captured in the new ESA science strategy https://esamultimedia.esa.int/docs/EarthObservation
-
), via the ACT website (https://www.esa.int/gsp/ACT/) . You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship You will take scientific
-
(for example insect-eye–inspired motion detectors for planetary landing and insect-inspired navigation algorithms) to evolutionary and neuromorphic approaches to autonomous control, as well as soft-robotic