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of market-making algorithms (for threshold selection, and finding the optimal size of windows/batches)
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In the context of ongoing transformations of wireless technologies, the laboratory LS2PR investigates innovative network topologies and digital signal processing schemes. On the one hand, novel
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well as environmental samples), Extract the proteins involved in catabolic processes and purify them using our oxygen-free process, Characterise the proteins using biochemical, biophysical and structural tools, Analyse
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phenomena. • Actively participate in maintaining and advancing the laboratory’s experimental platforms, particularly measurement instrumentation. • Implement /develop micro/nano-fabrication processes
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mechanisms. The project will combine experimental studies with advanced signal processing and AI techniques (compressed sensing), aiming to detect early signs of failure and enable predictive maintenance
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Metabolism team, with a preferred starting date of late summer 2026. Your tasks will include: Extract the native proteins involved in catabolic processes and purify them using our oxygen-free method
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equations, while the phase-field variable itself can also follow an hyperbolic evolution law that captures inertia or rate-dependent effects in the damage process. Explicit schemes are attractive for dynamic