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action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request
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, you may submit a copy of this advertisement One-page personal statement which demonstrates the applicant’s relevant research experience motivation for choosing a PhD project examining multi-modal
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of scientific data, e.g. from image acquisition modalities or scientific simulations. Efficient algorithms are at the core of most of these data analysis and visualization applications. The focus of this Ph.D
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digital twins, and life cycle assessment (LCA). A central component of the research will be the development of digital twins to simulate the entire production process, from raw materials to final product
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CMOS components. Ideally, you have already gained experience in using circuit simulation and 3D field simulation programs, for example, Cadence Virtuoso, Advanced Design System (ADS), the CST Studio
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can be varied. Crucially, the models we derive will be validated by real-world measurements to ensure our simulation environments are realistic and scalable to more complex radar networks. This will
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but not mandatory). A strong interest in materials simulation, quantum materials, and condensed matter physics. Experience with Python. Fluency in English is required. Finnish language is not required
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. Nuclear Instrumentation and Advanced Detection Techniques: o Proficiency in detecting ionizing radiation and using Monte Carlo simulation software (MCNP, GEANT4). o Knowledge of multi-element
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that simulates real-world environmental conditions to test the durability and longevity of these materials and products made thereof, is also required. This PhD project aims to investigate novel high-performance
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control algorithms for whole system efficiency optimisation. Design and simulate power management circuits using tools like SPICE or MATLAB/Simulink. Prototype and test circuits with real energy harvesters