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or passive components into organic substrates; has experiences in magnetic components design, optimization and integration; is familiar with the simulation tools such as Ansys (Maxwell, Q3D, Icepak), LTSpice
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qualifications include experience in one or more of the following areas: Indoor air quality measurements and analysis Synthesis and characterization of smart materials Numerical simulations (e.g., Computational
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based on both visual and tactile information. The candidate will be responsible for developing detailed simulation models of both robots, sensors, and components to be assembled. In addition
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failure analysis using advanced finite element models and simulation techniques. This is enabled by digital and sensor technologies such as artificial intelligence, computer vision, drones, and robotics
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linked data Sensors as part of Internet of Things (IoT) and integration of sensory information in simulation models as part of Digital Building Twins (DBT) during run-time Life cycle and sustainability
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description. An abstract for the above project description of no more than 250 words, to be submitted on a separate sheet/page. A detailed CV (max. 2 pages) A copy of your master's degree certificate including
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on the PhD programme, application procedure, and admission requirements. The application must include the following and be written in English or Danish: Copy of diplomas/transcripts List of written work
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processing, optimization, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus; Familiarity with the basic concepts
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requirements. The application must include the following and be written in English or Danish: Application for enrollment Copy of diplomas/transcripts Curruculum vitae(CV) Project description List of written work
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application. Curriculum Vitae. Master’s and bachelor’s degree certificates or equivalent, including transcripts of grades (copy of original/official English translation). Completed TEK PhD application form