15 remote germany English-speaking jobs in Erlangen

The Fraunhofer-Gesellschaft currently operates 75 institutes and research institutions throughout Germany

EWM Consultant Reference: 17113 Start Date: Immediately Rate: US$100 per Hour Location: Erlangen, Germany

We work across a wide range of industries and environments—both in Germany and internationally. ... Key Responsibilities: Conduct drone-based surveys in Germany and other European countries Perform geophysical

We work across a wide range of industries and environments—both in Germany and internationally. ... Key Responsibilities: Conduct drone-based surveys in Germany and other European countries Perform geophysical

Job Title: Freelance Electrical Engineer - Medical Device Industry (12-Month Contract) Location: Germany

Job Responsibilities Designing and implementing clean, well-engineered code Developing realistic and enjoyable gameplay systems Maintaining existing systems and creating innovative improvements Supporting & advocating collaborative engineering principles and practices Expected Qualifications Experience in LUA or an object-oriented programming language Proficiency in English, both written and verba

Ihre Aufgaben About the project: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.

Job Description: In order to support FCAS CC Teams, Airbus Defence and Space is looking for a Network Engineer FCAS (d/f/m). This role is also available with reduced weekly hours and an adapted scope of tasks. Your location Our site is just a stone's throw away from Munich, the beautiful capital of Bavaria. Are you into sports and other outdoor activities?

Ihre AufgabenAbout the project: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.

Ihre Aufgaben About the project: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.

Job Responsibilities Active participation in improving the quality of the game through diligent testing Functionality checks of game features across multiple console platforms Verification of fixes applied by developers (regression and confirmation testing) Testing user-created mods for the game submitted by our community Creatively coming up with new, imaginative ways to break our games Seeking a

Ihre AufgabenAbout the project: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.

Ihre AufgabenAbout the project: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.

Ihre AufgabenAbout the project: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.

Ihre AufgabenAbout the project: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.