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About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM
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initial two year period (renewable). The successful candidate must hold a PhD in Biology, Biomedical Engineering, Mathematics, Physics, or equivalent, with established expertise in the field of cardiac
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Description of the offer : Femtosecond laser pulses provide a unique route to control magnetism on ultrafast timescales. By carefully tuning the energy of optical excitation, it becomes possible to selectively address specific degrees of freedom in condensed matter—such as lattice vibrations,...
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Cardioembolic Stroke Risk Stratification using AI Accelerated Patient-Specific Blood Flow Simulation
.), along with a dynamic and stimulating work environment. Searched Profile • MSc Level in data science, applied mathematics or biomedical engineering. • Motivated by mathematical modelling and AI • Eager
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symbiosis; (iv) bio-inspired engineering for energy, health and the environment. Through its five scientific departments , the institute offers a vibrant, multidisciplinary environment in Biochemistry
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). It is located in Toulouse, southwest France, on the main Campus of the University of Toulouse, offering a multidisciplinary education in the fields of science, health, engineering, and technology
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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mathematical modeling, optimal control, and Bayesian optimization. Expected skills We are looking for a candidate with a Master 2 degree in physics, mechanical engineering, or applied mathematics. We expect a
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difficult to capture with compact classical models [3, 4]. However, even when a quantum model shows promise, running it as a production inference engine is often impractical in robotic systems. Knowledge