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generative models, optimization tasks, or other specific applications. The candidate will work in the context of the project ML-QSIM, a 4-year, 2M€ project funded by the Spanish Government, within a
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development of biosensors Optimize novel aptamer beacon platforms Characterization with electrochemical techniques such as cyclic voltammetry, differential pulse voltammetry, square wave voltammetry, impedance
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interface between ESM and the latest version of SIESTA, its validation, its benchmarking, and its exploitation in scientific applications. Work will also involve the optimization of SIESTA on the fastest and
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