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electrostatic, electromagnetic, mechanical, and thermal simulations. Development of AI surrogate models to enable faster and larger scale simulations to enable faster turnaround on chip design and calibration
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fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results
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or entangled photon pairs. 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
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(cover letter) addressed to the President Vision for teaching and research CV including employment history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org
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research activities, and you like to explore research collaborations with colleagues inside and outside your network. You must be responsible for the teaching of courses. DTU employs two working languages
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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 senior staff, PostDocs and PhD/Master students
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academic and industrial research partners. Qualifications A MSc in Physics, Nanotechnology, Material Science or related fields. Proven record of chip design and nanofabrication. R&D experience is highly
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deep understanding of ceramic processing methods, such as tape casting, slot-die coating, spray coating, deep coating, including sintering and other solidification methods. With your insight you are able
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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
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understanding of ceramic processing methods, such as tape casting, slot-die coating, spray coating, deep coating, including sintering and other solidification methods. With your insight you are able to lead