Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
data applications and the theoretical analysis of machine learning methods. A list of members of the statistics group can be found here . The Statistics group is embedded within a larger data science
-
language processing, and more. We own and operate the entire technology stack for Machine Learning Operations. This ensures that the models we build translate into secure, reliable, and actionable outcomes across
-
Vacancies Scientific programmer of libraries on testing and learning in Haskell and Python Key takeaways As a scientific programmer, you will support the development of software from a technical
-
27 Feb 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
-
causal inference, machine learning, text analysis, or large-scale data integration. You support ODISSEI users via consultations and collaborative research, train researchers through workshops, and mentor
-
to offer a coherent, system-level perspective to guide its strategic evolution notably in the context of machine learning/artificial intelligence numerical, weather, ocean and climate prediction systems. By
-
close collaboration with other discipline experts, such as software, microelectronics and applications engineers. * except for RF payloads. ** including artificial intelligence and machine learning
-
advanced techniques (such as digital beamforming or machine learning/Al techniques) supporting instrument operation and operative modes; onboard data compression; onboard data encryption; ASICs and devices
-
of specific characteristics of military and dual use space systems Behavioural competencies Education A master's degree in engineering or a scientific discipline is required for this post. Additional
-
space transportation and information engineering Knowledge of machine learning and artificial intelligence applications in data processing Proven experience in the design and development of data