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selection process for an indefinite employment contract within the framework of a Line of Research Research line: Machine learning applications https://www.upv.es/entidades/SRH/conypi/A1268833.pdf Where
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to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-ptgas-staf… Requirements Research FieldComputer science » Computer architectureEducation LevelUndergraduate Research
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: Ability to work in a team and maintain code cooperatively. Specific Requirements Knowledge: Efficiency and optimization algorithms for multivariable decision making. Statistics. Machine Learning
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: Machine and Deep learning. In health and rehabilitation projects. Experience in functions similar to those described will be valued, specifically in the development of research activities, both in
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measurements. Professional Experience: In health and rehabilitation projects. Classification and models of Artificial Intelligence: Machine and Deep Learning. In recording and signal processing. Experience in
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the medium and long term. We are looking for a Machine Learning Research Engineer: The ideal candidate will bring deep expertise in state-of-the-art deep learning methods applied to computer vision, 3D
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | about 2 months ago
). - Artificial intelligence and machine learning. - Advanced programming in Python and use of machine learning/bioinformatics libraries. - Software development and database management. - Ability to work in
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projects using NGS techniques applied to oncology. The candidate will mainly carry out the following tasks: • Analysis of high-throughput omics data with state of the art methods including machine learning
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Description Implement and validate machine learning models and statistical algorithms for data imputation, anomaly detection and uncertainty management in geospatial environments. Collaborate in the preparation
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.), command-line tools (bwa, samtools, bedtools, etc.) and biological databases (cBioportal, COSMIC…). Fluency in R and/ or Python. Proficiency in English. Knowledge of statistical modelling or machine learning