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. You need to have a proven ability to work independently and, in a group, possess excellent written and spoken English (Danish is an advantage), and display professional communication skills. Approval
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for sensing the backscattered ultrasound signals. You will join a laboratory with expertise in photonics, piezoelectric materials and device fabrication methods for sensors and actuators, working under
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environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial
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. This project explores the complex physics of plasma-material interactions, powder ablation, and plasma turbulence in fusion devices. The aim is to develop a novel numerical simulation tool that integrates DTU’s
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environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial
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sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT
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of the devices in the state-of-the-art DTU Nanolab cleanroom facilities using quantum dot imaging, lithography, etching and metal deposition. In both projects, the overall objective is to increase the efficiency
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Job Description Are you passionate about brain-computer interfaces (BCIs), neurorehabilitation, and intelligent assistive technologies? The Department of Health Technology (DTU Health Tech
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computer programming language is expected. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Approval and