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-design of neuromorphic circuits and systems with novel algorithms in different fields of applications e.g. solving hard optimization problems, associative computing, or computing with dynamical systems. As
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Your Job: There are multiple openings for new PhD students interested in the co-design of neuromorphic circuits and systems with novel algorithms in different fields of applications e.g. solving
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sensors based on the integration of organic light emitting diodes (OLED) onto silicon CMOS substrates. Here, our activities range from the initial idea, through design in close cooperation with the OLED
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sensors based on the integration of organic light emitting diodes (OLED) onto silicon CMOS substrates. Here, our activities range from the initial idea, through design in close cooperation with the OLED
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sensors based on the integration of organic light emitting diodes (OLED) onto silicon CMOSsubstrates. Here, our activities range from the initial idea, through design in close cooperation with
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sensors based on the integration of organic light emitting diodes (OLED) onto silicon CMOSsubstrates. Here, our activities range from the initial idea, through design in close cooperation with
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-tuning, testing, and validation of AI agents. • Design, verify, and validate AI agents covering various disciplines to ensure a diverse range of capabilities. • Design simulators for autonomous spacecraft
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Job description:Title: DC13, PhD fellowship in explainable machine learning techniques to support the design of plant-based fermented food products – Development of a serious game to support the
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of this adjustment is a decisive factor for the quality of the prediction models. The quality of the fit depends not only on the measurement accuracy, but also on the design of the measurements. Typically
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design workflows for training, running, and evaluating a downstream application of HClimRep that will deliver high-quality ecohydrological forecasts for drought, flood, and ecosystem analysis. Specifically