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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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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the candidate will be made by Professor Lars Jelsbak and Post Doc Carlos Neftaly
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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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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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contact the Department of Political Science and Public Management PhD coordinator, Professor Arjen van Dalen, phone +45 6550 4417, e-mail avd@sam.sdu.dk . For further information about the research project
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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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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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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
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the following documents in PDF format: 1. Motivated letter of application (max. one page) 2. CV incl. education, experience, language skills and other skills relevant for the position 3. Certified copy
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and contact Associate Professor Lars Duggen, Head of Centre for Industrial Mechanics, tel. +45 6550 1640, e-mail: duggen@sdu.dk or Professor Jerome Jouffroy, head of the Drone Mechatronics, tel. +45