189 germany English-speaking jobs in Lower Saxony

Creating passion: your responsibilitiesService Design and Delivery: Define, operate, and evolve VM services: Vulnerability Detection, Response, and Remediation Support. Own the deployment, configuration, and health of vulnerability scanning tools across infrastructure and cloud.

Work Environment Detailed address: Germany (Can communicate about local remote work and regular business

Work Environment Detailed address: Germany (Can communicate about local remote work and regular business

Work Environment Detailed address: Germany (Can communicate about local remote work and regular business

Work Environment Detailed address: Germany (Can communicate about local remote work and regular business

Work Environment Detailed address: Germany (Can communicate about local remote work and regular business

Work Environment Detailed address: Germany (Can communicate about local remote work and regular business

Work Environment Detailed address: Germany (Can communicate about local remote work and regular business

Work Environment Detailed address: Germany (Can communicate about local remote work and regular business

The role will be based in our EMEA HQ Office in Hannover, Germany and will report to the Supplier Quality

The position will be based in our EMEA Headquarters location in Hanover, Germany.

The role is based in Hannover, Germany.

With around 17,000 students and 3,800 employees, the Technische Universität Braunschweig is one of Germany

The position will be based in our EMEA Headquarters location in Hanover, Germany.

The position will be based in our Clarios EMEA headquarters office in Hanover, Germany.

The position will be based in our EMEA Headquarters location in Hanover, Germany.

What to expect In the context of our research into distributed avionics platforms, a reliable and performant way of safely connecting to avionics networks inside the aircraft is needed. While the processing systems often have to fulfill hard-real-time constraints, aircraft core networks based on Ethernet work mostly asynchronously.

What to expect Autonomous flight control increasingly relies on reinforcement learning (RL) to develop high-performance control strategies directly from data and interactions. RL can adapt online to new conditions and is particularly well suited for mission-level objectives that are difficult to design explicitly (efficiency, flight envelope, comfort).

What to expect In the context of the D-Resilience project, research is being carried out into how mesh networks can be used in the context of a distributed avionics platform.

The DLR Institute of Software Technology sees software as a catalyst for research and innovation. The institute's staff, currently numbering around 200, make a significant contribution to advancements in the fields of aviation, space, energy, transportation, and security through the development of state-of-the-art software solutions and innovative research.