10 Engineer English-speaking jobs in Erlangen

Ihre Aufgaben The 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.

Get off to a flying start as a Test Engineer ! ... professional solutions in Erlangen also have the right job for you: We are currently looking for a Test Engineer

Development Engineer (m/f/d) Experten. Talente. Persönlichkeiten. ... We are seeking a talented Development Engineer (m/f/d) for our renowned client in the medical technology

We are looking for an experienced Systems Engineer (m/f/d) to lead cross-functional feature teams in

strengthen our team in Erlangen (Germany) or Klaus (Austria) we are currently looking for an Application Engineer

Are you passionate about protection products, market dynamics, and customer applications? Join our Product Lifecycle Management (PLM) team and play a key role in defining and driving product strategies tailored to vertical market needs and ensuring Siemens delivers meaningful customer value through its protection portfolio.

Are you passionate about protection products, market dynamics, and customer applications? Join our Product Lifecycle Management (PLM) team and play a key role in defining and driving product strategies tailored to vertical market needs and ensuring Siemens delivers meaningful customer value through its protection portfolio.

Azure Solutions Architect, Azure AI Engineer) and experience with cost management and performance tuning

Azure Solutions Architect, Azure AI Engineer) and experience with cost management and performance tuning

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.