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- Develop a deep understanding of the benefits and deficiencies of existing biofeedback modalities and advise on hardware selection.
- Responsible for whole life cycle of algorithm development for biosensors, from early idea generation, feasibility, prototyping study to production level coding, and implementation.
- Design and develop robust, light, and real-time signal processing algorithms for biomedical sensor hardware and novel post-analysis algorithms for mobile health applications.
- Apply supervised and unsupervised machine learning algorithms to bioelectrical datasets to achieve target outcomes.
- Oversee mobile application, data processing, and hardware interface development.
Prism focuses on Internet of Things, Wearables, Brain Health, and Mental Health. Their company has offices in New York City. They have a small team that's between 1-10 employees.
You can view their website at or find them on LinkedIn.
cto - Boston, United States - Prism
Description
Responsible for overseeing all elements of technical architecture including hardware design, signal processing, machine learning, and game development