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machine learning, artificial intelligence, computer vision, or data science previous experience in ecological modelling experience with working in multi-national research and infrastructure programmes
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ecological research with genetic data previous experience in machine learning, artificial intelligence, computer vision, or data science previous experience in ecological modelling experience with working in
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, molecular omic, and neuroimaging data using machine learning Project: Stroke is a leading cause of death and disability worldwide. Ischemic stroke is heterogeneous both in terms of etiology and outcomes
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direct connection with NGI Stockholm . Subject field Computational biology with a focus on machine learning for multimodal molecular biology data. Subject description The subject covers the development and