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) who is highly skilled in and deeply passionate about computational electromagnetism and mathematical physics/engineering. The SRF should have strong background in computational methods for solving
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surrounding building such an experimental toolkit; from the ultrafast optics to the spatial resolution and statistical data analysis. Basic Qualifications PhD in Physics, Chemistry, Biology, Mathematics and
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programme of research and collaborate effectively across disciplines. Essential: • A completed PhD in a relevant field (e.g., applied mathematics, statistics, geophysics, remote sensing, physical
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engineering, physics, systems pharmacology, or related quantitative discipline. Strong experience in mathematical modeling and simulation, with formal training or demonstrated experience in: Quantitative
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mathematics, including medicine (STEM). Through the AI4X-PDF, we seek to nurture the next generation of research leaders working at the intersection of AI and STEM, driving innovation and strengthening
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applied mathematics, mathematical biology, chemical engineering, biomedical engineering, physics, systems pharmacology, or related quantitative discipline. Strong experience in mathematical modeling and
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for simulation and modeling of wave dynamics, and for uncertainty quantification of extreme events. The project will combine stochastic mathematical models of wave physics with advanced computational methods
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(reading and writing), and mathematics as fundamental skills critical to educational success. The current position is tied to one of two planned randomized controlled trials that will test the effects
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experience in Mechanical Engineering, Applied Mathematics, Physics, Acoustics, Computational Science or a closely related discipline. Strong experience in numerical/computational modelling (e.g., FEM
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requirements: Master’s degree in Physics. The candidate must have previous experience with remote sensing data, burned area mapping algorithms and handling large databases. He must also have solid mathematical