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machines by interpreting brain activity (e.g., EEG signals) in real time using energy-efficient neuromorphic hardware. You will work on the design and hardware realization of Spiking Neural Networks (SNNs
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systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results into applications in close collaboration with industrial partners worldwide. You
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challenges in developing future BCIs is to increase the number of brain signal channels while keeping the system very small and energy-efficient. This is very important for implantable or wearable systems
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to sediment transport and landscape evolution. Depending on your background and expertise, your research will focus on one or more of the following areas: Confocal microscopy of point defects and trapped
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available studies indicate that RL-MPC control strategies can result in significant savings in operational energy management for a building. However, the impact and scalability of these results for the large
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to sediment transport and landscape evolution. Depending on your background and expertise, your research will focus on one or more of the following areas: Confocal microscopy of point defects and trapped
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indicate scientific highlights), H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) List of plasma experiments which you
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available studies indicate that RL-MPC control strategies can result in significant savings in operational energy management for a building. However, the impact and scalability of these results for the large
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weathering and erosion to sediment transport and landscape evolution. Depending on your background and expertise, your research will focus on one or more of the following areas: Confocal microscopy of point
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achievements and publications. The CV must clearly indicate the applicant’s vitae name, surname, gender, date of birth, nationality, country of residence in the last three years). Evidence of English proficiency