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Details A brain-computer interface (BCI) provides a direct communication pathway between a human brain and an external device. Using appropriate sensors and data processing algorithms, a BCI maps patterns
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in a team environment Highly organized with excellent communication and interpersonal skills Preferred Qualifications: Experience with eye-tracking or wearable sensor technology Background in clinical
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 23 days ago
techiques Excellent track record of research achievements and publications in top-ranked journals Advanced hands-on experience in optics, sensors, lasers, optical fibers Strong experimental and engineering
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for joining the panels and flexible, customisable sensor systems for monitoring is also planned. The work plan therefore includes: 1) Development of the innovative LSF profile and numerical simulation
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department, please visit: College of Engineering, Purdue University https://engineering.purdue.edu/Engr External Recognitions Program https://engineering.purdue.edu/Engr/People/Awards College
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institutions from academia and industry: https://euraxess.ec.europa.eu/jobs/401249 . Your mission The aim of the project is the development of a physical model of the initial solidification of steel during
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these areas and nurture future leaders in prosthetics and orthotics, clinical engineering, medical instrumentation and sensors, and biological engineering by imparting interdisciplinary knowledge, innovative
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thoroughly and methodically, sometimes under pressure working to tight and competing deadlines. Desirable Application/interview In depth knowledge of sensors used in measurement and control systems such as
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materials, self-healing technologies, or sensor-integrated cementitious systems is a strong plus. Strong laboratory skills, data analysis capabilities, and a collaborative mindset. Preferred Skills
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embedded systems from vulnerabilities rooted in sensor physics, studying the impact of physical signals (e.g., acoustics, lasers, electromagnetic emissions) on AI and sensing systems, and innovating hardware