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quality of water stored therein; b) calibrate and validate models or algorithms based on spectral signatures, associated with in situ validation campaigns; c) extract indicators of spectral signatures
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capacity to process complex simulation data, fine-tuning its interpretation algorithms, and ensuring that gap-filling recommendations are both biologically plausible and supported by external resources
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that do not confer an academic degree, in the area or area related to that requested in the tender. Preferential factors: Have demonstrable experience in the use of machine learning algorithms applied
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 2 months ago
) Knowledge of machine learning, with the ability to support the validation and optimization of predictive algorithms applied to cardiac electrophysiology (25%); d) Knowledge of cardiac electrophysiology
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was hired. The tender is open for a period of twenty business days. The tender notice has been published on the BEP (Public Employment Exchange) under the URL www.bep.gov.pt , on Euraxess Portugal Portal