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you will design, build and operate advanced electrochemical systems focused on product detection. The project builds upon many years of experience - for example with the "sniffer chip" which has been
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specifically examine gas corrosion mechanisms in connection with copper and silver, while investigation also will be carried out on specific electronic components such as chip resistors, IGBT substrates etc
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. These are essential components for optical quantum computers and quantum networks, where one bit of information is encoded in the quantum state of a single photon. You will be part of a team of 10-12 people between
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in connection with copper and silver, while investigation also will be carried out on specific electronic components such as chip resistors, IGBT substrates etc. Work will also involve electrochemical
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to go to the field (poultry farms and slaughterhouses) to collect samples. You are highly motivated, curious, and have strong analytical and problem-solving skills. You are not afraid to ask questions and
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RISC-V ISA. Your project will involve developing and verifying time-predictable on-chip communication to support multicore systems and provide a basis for real-time automotive functionalities
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, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction
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time and emission in the low-loss telecom C-band. We are looking for up to three PhD students, who have excelled in their studies, to join our team working towards demonstrating chip-scale quantum light
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with peers and pursue independent work towards shared objectives. As a results-driven individual, you can go above and beyond to meet crucial deadlines. Approval and Enrolment The scholarship for the PhD
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, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted