67 airport worker germany English-speaking jobs in Erlangen

You will architect and implement cloud solutions that power next-generation AI and data applications as part of the ai:attack offering of the Siemens Data & AI Cloud (SDC), advise internal teams across Siemens, and ensure reliable operations through automation and best practices.

Are you passionate about delivering cybersecurity services and secured systems to critical infrastructure operators? Join our team and play a key role in definition, detailing and implementation of the service portfolio and related business models for Cybersecurity.

Job Description Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you.

Get off to a flying start as a Test Engineer ! We at Randstad professional solutions in Erlangen also have the right job for you: We are currently looking for a Test Engineer on behalf of our business partner in the engineering sector. We will open the door to this interesting position for you! Apply online and look forward to talking to a friendly colleague from our recruiting team.

Job Description Today, the corporate landscape is dynamic, and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you.

Tasks Develop, design, and maintain high-quality applications using C# and the . NET framework. Work with modern technologies and frameworks to build scalable and reliable software solutions. Collaborate with cross-functional teams to gather requirements and deliver efficient solutions. Debug, troubleshoot and optimize applications to improve performance and user experience.

Ihre AufgabenThe doctoral candidate will develop AI-driven methods for digital phenotyping based on ubiquitous sensor data to continuously track behavioral and physiological changes in individuals. These insights will be integrated with neuroimaging-informed, patient-specific computational models to inform steerable neurostimulation strategies.