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or related fields. Preferably strong interest and foundation in immunology, immune cell assays, or translational research. Preferably experience with computer-guided protein engineering. Experience in human
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generating unique three-photon quantum states that have the potential to become foundational building blocks for next-generation quantum technologies. You will join the “Fiber Optics, Devices, and Nonlinear
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of micro- and nanotechnology-based sensors, detection systems, drug-delivery devices, and energy materials. Responsibilities and qualifications You will be responsible for handling blood samples
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digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design
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for optimizing the energy consumption, mathematical models for digital twin technology, and minimum interoperability mechanisms for streamlining the integration across devices, consumers, and technologies. You
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Continuum mechanics Large deformation elasticity Design of mechanical devices Programming skills As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical
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internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering
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of coating and requires dedicated testing devices and formulation techniques. New raw materials for coatings Working along the entire value chain, we aim to replace fossil-based materials with sustainable raw
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. Neil Sinclair and Prof. Marko Lončar), where TFLN devices will be fabricated at DTU and TFLT at Harvard. Scientific Environment The project is funded by The Novo Nordisk Foundation and anchored at DTU
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interest and documented skills and experience in using computer-based tools to analyse, simulate and predict capture performance of active and passive fishing gears. A track record of publishing in peer