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for phage display selections such as toxin purification from venoms. Requirements: Accepted for a MSc program at DTU. Previous working experience in a laboratory setting, e.g. in GMO class-1 labs is mandatory
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. We are looking for a skilled and motivated Computational Engineer to work on the development of numerical gyro-fluid edge turbulence models targeting magnetic confinement fusion devices. Our section
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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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broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip
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academic 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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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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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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out the work and a dedicated team to help with construction of the device and running of the experiment. Salary and appointment terms The appointment will be based on the collective agreement with