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? We invite applications for a PhD position, focusing on the design and implementation of Spiking Neural Networks (SNNs) using CMOS technology. Project Overview This PhD position is part of a
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applicants to this PhD proposal should have the following qualifications: MSc degree in electrical engineering, mathematical engineering, mathematics, computer science or similar; Solid mathematical and
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that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics This PhD project falls under Research Thrust RT3
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://cordis.europa.eu/project/id/101226229 . Project description The successful applicants will join a multidisciplinary EU-funded Marie Skłodowska-Curie International PhD training network. The doctoral positions
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Denmark and Politecnico Di Torino, Italy. There will also be common meetings with the other 14 PhD students in the doctoral network, including 3 training schools. As a participant of the project, the PhD
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Network project called SiCPIC. The project consists of 15 PhD students at 5 universities and one company. The project has partners from five different EU countries. All, 15 PhD projects are within
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their monolithic integration for applications in mid-infrared spectroscopy and dual comb spectroscopy. The PhD student will participate in an international team in an EU-funded Doctoral Network project
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network, including 3 training schools. As a participant of the project, the PhD student will become part of a team at DTU with expertise in design, fabrication and characterization of integrated diode laser
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. There will also be common meetings with the other 14 PhD students in the doctoral network, including 3 training schools. As a participant of the project, the PhD student will become part of a team at DTU
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for three years from March 1st , 2026. Project description The advertised PhD position forms part of a competence network supported by the EU Interreg-6a funding scheme between Germany and Denmark. The vision