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theory, and machine learning to quantify and understand cancer biology. We are seeking a highly motivated Postdoctoral Researcher to develop new computational methods for the analysis and interpretation
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are not limited to: Machine Intelligence, AI for Science, Scientific Computing, Robotics, Complex Systems Modeling, Control, and Decision Making, Autonomous Agent and Multi-Agent Learning, Computational
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cutting-edge machine learning approaches to analyse data from spatial transcriptomics, proteomics, and digital histopathology, ideally with the ambition of enabling multi-modal data integration between
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in machine learning. Previous experience in the analysis of single cell omics datasets and an interest in neurobiology (or previous experience in the field); Fluency in English – HT is an international