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Field
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know the fundamentals of quantum computing. It is also expected that the participant has knowledge to work on diverse software and hardware (knowledge on working with FPGAs and ASICs will be preferred
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, 120-128. Basic Qualifications A PhD (or equivalent), or near completion, in a relevant field such as chemistry, physics, materials science, or engineering (chemical, electrical, or mechanical
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for seizure detection. These algorithms will be implemented on a spiking neural network (SNN) processing unit deployed on FPGA and custom-designed chips with an integrated detection mechanism. Research area and
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are searching for a motivated PhD candidate to design practical over-the-air computing algorithms and protocols for future edge AI applications. About the employer The research of this PhD position will be
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will hold a PhD* in experimental particle physics or have an equivalent level of professional qualifications and experience. You must have the following essential criteria: Experience of data analysis
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Framework level 12 (PhD) plus track record of emerging independence within a research/professional environment, or alternatively possess professional qualifications and experience equivalent to PhD level plus
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of FPGA designs, including timing analysis, code coverage and coding rule checks Support FPGA integration on target hardware Create design documentation in compliance with internal and external normative
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of controlling small quantum computers and memories, we anticipate the development of high-speed event-driven decision making, likely to require the use of FPGAs or CPLD based hardware. In the framework of setting