Sort by
Refine Your Search
-
technological research and development (R&D) concerning turnkey onboard hardware data handling solutions, with an emphasis on: platform and payload data handling architectures and their building blocks (equipment
-
of the internship: Machine Learning for recognition of planetary materials from multispectral datasets You are sought to contribute to the ongoing development of Machine Learning algorithms for recognition
-
, Directorate of Technology, Engineering and Quality. The Microelectronics Section provides functional support to ESA projects and carries out technological research and development (R&D) in the field
-
scientific standards, while offering subject matter expertise to guide ML-based algorithms development. Key responsibilities include expanding, curating and quality-assessing multi-spectral archives within
-
knowledge of system security engineering, crypto algorithms and certification processes. Good knowledge of technology development and maturation processes relevant to PRS, security and crypto devices
-
as a pathfinder for novel technologies and working methods across all space domains. The overarching goal of this research fellowship is to develop and study advanced theoretical frameworks for deep
-
, development and implementation of digital signal processing algorithms and data processing strategies for microwave radiometers; conducting laboratory activities to validate architectural concepts, operating
-
missions in the domains of Earth observation, science, and resilience, navigation and connectivity. The Section carries out technological research and development, harmonisation and standardisation in
-
Database (AMD). SMT is responsible for maintaining, assuring the quality of, and further developing the AMD. Before the AMD was introduced, medical data were stored in a SQL Server database. Some of these