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Applicants should hold a relevant MSc degree in electronics, electrical engineering, computer engineering, or related fields. Required Qualification: Solid background in digital CMOS design and deep learning
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in machine learning and artificial intelligence Experience with numerical analysis and scientific computing Knowledge of power systems and renewable energy technologies Experience in power system
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) therapy on the biology of γδ T cells and how can we use this knowledge to help us predict the success of therapy and prevent the development of side-effects. Position 1 will focus on the cellular and
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, the department is responsible for the teaching of other legal subjects offered at SDU, e.g. on the Master’s programme in Business Economics and Auditing, on the engineering programmes, on the Bachelor programmes
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at Dartmouth College (USA). To follow the DTU program, you will be granted a unique study environment, together with several PhDs and Post Docs in related fields. Your primary tasks will be to improve
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to real-world applications in brain-computer interfaces Publish in leading conferences and journals We Are Looking For A Master’s degree in Electrical Engineering, Computer Engineering, or a related field
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of classical computers will require thousands, or even millions, of qubits. This creates a major engineering hurdle: interconnect complexity. Each qubit needs dedicated control and readout lines, which
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for intelligent brain-computer interfaces? We are offering a PhD position in analog/mixed-signal CMOS circuit design for EEG and wearable sensor interfaces, as part of a pioneering project focused on assistive
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. The successful candidate will work on developing new theoretical models and computational methods to investigate the fundamental limits of polariton-assisted inelastic electron tunneling in tunnel junctions made
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. Access to state-of-the-art technology and resources. Project description We are currently extending our team working on the MADE REACT project which focus on challenges within the design of robot solution