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Computational Biophysics/Chemistry (see also https://constructor.university/comp_phys ). The PhD position is focused on efficient algorithms for the simulation of non-adiabatic exciton transfer dynamics in light
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. Multiscale simulations of the downstream expansion behaviour of the engine exhaust plume for different atmospheric layers. Definition of suitable interfaces to process data for the climate models. Expected
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Identify and evaluate online‑measurable proxies (e.g., froth‑camera metrics, X‑ray fluorescence) for ore microstructures; conduct offline μXRF/TIMA analyses to simulate various XRF‑system configurations
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only) with a motivation letter, CV, copy of degree certificate, transcript of grades (i.e. the official list of coursework including your grades), and proof of English language skills by January 6, 2026
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only) with a motivation letter, CV, copy of degree certificate, transcript of grades (i.e. the official list of coursework including your grades), and proof of English language skills by January 6, 2026
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experience in using circuit simulation and 3D field simulation programs, for example, Cadence Virtuoso, Advanced Design System (ADS), the CST Studio Suite, or similar tools. You have an independent, scientific
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, as a doctoral researcher, will: Explore energy–delay efficient unconventional computing architectures through both simulation and experimental prototyping Perform iterative hardware–algorithm co-design
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pages) • Summary of your Master‘s thesis (max 1 page) • Transcript and scanned copy of Master’s degree certificate • Two letters of recommendation or the names and contact details of two referees
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demands. To break this bottleneck and cut simulation time by orders of magnitude, you will design and implement surrogate models that learn the behavior of full‑physics codes using modern machine‑learning
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project, you will help design, simulate, and optimize these next-generation communities — making clean, local, and intelligent energy systems a practical reality. Your key responsibilities include