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(quantitative and qualitative) to monitor gene expression, neuronal activity, and metabolic changes during disease modeling and therapeutic testing. This PhD project offers the opportunity to work in a
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new business models based on distributed storage and dynamic sharing coefficients, integrated into a regulatory sandbox and real-world test environment. Main tasks: Create algorithms to maximize
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, the proposal will be declared ineligible and withdrawn from further examination. The call is open to candidates of any nationality. Candidates must have obtained a University Bachelor's Degree and a Master's
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all the stages of the recruitment process and, where applicable, passed the relevant test. In such a case, the panel may set a minimum score for candidates to be placed in the pool. The pool will list
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activity, oxygen storage capacity), in collaboration with machine learning experts to build predictive models. Producing well-characterized nanoparticle batches for external testing and catalytic