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recovery mechanisms will also be evaluated and integrated, addressing the susceptibility of analog and in-memory computing to noise, process variation, and soft errors. The primary objective is to design a
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related discipline. Strong background in analog and mixed-signal integrated circuit design. Experience with Cadence tools for schematic design, layout, and circuit simulation. Interest or prior experience
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-circuit-des… Requirements Specific Requirements A master’s degree in electrical engineering, computer Engineering, or a related field. Strong background in analog and mixed-signal circuit design and
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our research team in the field of mixed-signal IC design, focusing on the implementation of sense to compute paradigm. The ideal candidate will have a strong background in circuit design and experience
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experiments, as well as for its applications in medical imaging. For that, it collaborates with MedAustron, an ion cancer therapy and research center. Within this collaboration, we design and develop ultra-fast
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applications from motivated candidates with passion and a strong interest in conducting research and innovation activities on the understanding of food texturisation processes and development of non-invasive
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Your Job: The conventional, manual co-design of algorithms and hardware is slow and inefficient. Our group develops methods and tools to automate the co-design process. The core of this project is
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modeling and simulation experience in PCB design experience in control system design using analog/digital sensors and DSPs/microcontrollers familiarity with HVAC systems and thermal/electrical co-design is a
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use. Work description The selected PhD student will be responsible for the full development of the neuromorphic BCI system. Tasks will include: Designing a 32-channel, low-power analog front-end
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elements with controllable stiffness. The project will involve analytical and computational modelling, as well as designing and conducting lab experiments. Key questions include: How to create materials