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out, among others, will consist of: Study and modeling of data pre-processing and development of the technological stack for Big Data; Study on ML and DL models for decision making; Predictive analytics
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of the technological stack for Big Data; Study on ML and DL models for decision making; Predictive analytics, explainability and interpretation, and hybrid models; Development of an Emotional Model of Satisfaction in
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Instituto de Investigación Sanitaria Puerta de Hierro – Segovia de Arana (IDIPHISA) | Spain | 2 months ago
utility of liquid biopsy, Tumor microenvironment, Big Data and digital transformation, and Genetic and environmental factors predisposing to lung cancer. This contract is funded by the grant/project “SOSCLC
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contemporary high-resolution next-generation sequencing and array-based genomic and epigenomic datasets across large cohorts of human tumours and experimental models, alongside complex drug screening, efficacy
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ensuring high growth density, optimal CNT length, limited defects, andcompatibility with large-scale wafer-level manufacturing. The project also explores the development of CNT-based field effect transistors
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or in the face of adversity show curiosity and a strong motivation for the subject analyze data, assess different perspectives and draw well-founded conclusions be flexible and open to adjusting