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Project Overview This postdoctoral position is part of a larger project aimed at developing novel computational methods for spatial biology, establishing a new field of next-generation molecular
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experience with experience with processing scRNA-seq or spatial transcriptomics data experience with high-performance computing and software containers a background in systems biology Key personal
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systems biology Background in AI (deep learning, probabilistic modelling, generative AI) or machine learning Proficient in Python or R programming Strong communication skills in English Desirable but not
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The Saeys Lab is known for its innovative work in bioinformatics and computational biology, including the analysis of cytometry and single-cell transcriptomics data, cell-cell communication
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field of life sciences, with a focus on bioinformatics, biomedical sciences, bioscience engineering, (bio)chemistry, (molecular) biology, biotechnology, medicine or related disciplines. You have