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human health. Within this mission, the Funke group is developing machine learning methods for automatic and semi-interactive analysis of biomedical image datasets, concretely: (1) semantic and instance
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About the School SDEM integrates technology, economics, and management to cultivate versatile, innovation-driven leaders with global perspective. Hiring Clusters · Data Science & AI: machine learning
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glycoproteomics, including data analysis Experience in metabolomics, including data analysis Experience in lipidomics, including data analysis Experience with machine learning in proteomics data analysis
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pipelines, particularly those aimed at large data processing, deep-learning training and model fine-tuning. In addition to state of the art deep-learning, you will be employing modern technologies such as
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, biobanks, electronic health records); A sound understanding of Statistical and Machine Learning concepts, particularly in relation to genomics; Prior experience working with multiple data sources and
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of the facilities. Human Technopole supports career development through training, mentoring and dedicated learning opportunities. What you'll bring Essential BSc or higher in Biology, Bioengineering, Computer Science