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3 – Quantum algorithms for data clustering: Clustering algorithms are of fundamental importance when dealing with large unstructured datasets and discovering new patterns and correlations therein
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under the following conditions: OBJECTIVES | FUNCTIONS Analyze mass spectrometry data for microbial identification. Assist in the curation of spectra and the development of identification algorithms
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configurations and DNSSEC security validations. Implement the Kea DHCP service (or an equivalent solution) with a database backend. Develop APIs for migrating static data and test HA and failover algorithms
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of the call Past experience in AI algorithms Past experience in Research Projects EVALUATION CRITERIA The selection will be based on the following criteria: Academic record (50%) Past Experience in AI
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from users and participating academies. They will be responsible for evaluating the performance of personalized training plan recommendation algorithms, predictive models of user evolution, and class