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Field
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in medical image analysis. The ideal profile should demonstrate experience in developing deep learning algorithms applied to radiological imaging, particularly in breast and thoracic domains. Knowledge
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laboratory automation. Experience in laboratory process automation, algorithm development and machine learning and artificial intelligence (AI) applications. Experience in laboratories with quality management
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with peer review system. Expertise in optimization software and algorithms as well as in Reliability Analysis (maximum 20 points). • Projects and academic/research works: 5 points/item • Author or co
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the eligibility criteria stated in the job offer will be 10 points. Threshold: 5 points. The maximum score (10 points) will be distributed as follows: 1 point for required speciality. 2 points for required academic
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for the candidates who accomplish all the eligibility criteria stated in the job offer will be 10 points. Threshold: 5 points. The maximum score (10 points) will be distributed as follows: 1 point for required
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and prior experience in the design and implementation of mathematical optimization algorithms. (18 points) Knowledge and prior experience with statistical prediction models. (10 points) Knowledge and
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estadísticos para su integración en plataformas de datos. --------------------------- Design and development of statistical data analysis algorithms for integration into data platforms. Where to apply E-mail
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: The maximum score for the candidates who accomplish all the eligibility criteria stated in the job offer will be 10 points. Threshold: 5 points. The maximum score (10 points) will be distributed as follows: 1
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score (10 points) will be distributed as follows: 1 point for required speciality. 2 points for required academic training. 2 points for technic competences. 1 point for organisational competences. 3
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València announcing a selection process for an indefinite employment contract within the framework of a Line of Research R&D Line: High-Performance Algorithms for Vector Processors https://www.upv.es