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Field
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to improve the use of artificial intelligence. This involves continuously optimizing the basic hardware components and refining the methods used to develop them. The design flow of these circuits and (sub
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 1 day ago
devices will be able to perform computation and communication with energy harvested from the environment and from ambient wireless signals. The PhD student will be part of the design and electronic
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application! We are now looking for a PhD student in Integrated Circuits and Systems, at the Department of Electrical Engineering (ISY). Your work assignments The objective of this position is to develop
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Job description We are looking for an excellent and motivated PhD candidate to join the Microelectronics Department at TU Delft, focusing on the design of innovative power management integrated
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. Context: The design of cryogenic silicon circuits has gained much importance in recent years, in particular for applications such as silicon quantum computers that require interface electronics with ultra
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FieldEngineering » OtherEducation LevelBachelor Degree or equivalent Specific Requirements Item 01: University Education (punctuation: 35) Item 02: Specific training in: Circuit design, PCB desing, Electronics
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computing architectures, replacing conventional structureless and deterministic LIF point-neuron models. This is pursued through circuit designs that exploit and control memristor dynamics (e.g., local
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on a representative circuit breaker to study the dynamics of the gaseous environment during and following high current interruption. If you are still awaiting your PhD to be awarded you will be appointed
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:) Knowledge of chip design and fabrication (tape-out), computing hardware and paradigms such as memristive circuits and systems for in-memory computing, GPGPUs, machine learning accelerators and neuromorphic
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designing to new neuromorphic circuits with enhanced modulation properties, for real-time processing and learning of sensory processing tasks such as biomedical signal processing and adaptive sensorimotor