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machine learning assisted analyses of epigenetic markers to identify specific cellular subsets linked with disease progression and therapy response. Accordingly, a key aspect of your work will involve
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need to be developed. We are building a dynamic model based on data from serial liquid biopsies, tissue and imaging. Preliminary evidence suggest that machine learning-powered diagnostic tools based
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origin, composition and dynamics. Requirements Specific Requirements We are looking for an enthusiastic researcher who has recently received or will soon receive a PhD in molecular biology, genomics and/or
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should possess knowledge of state-of-the-art computational methods related to spatial data analysis, such as multimodal deep learning, self-supervised computer vision, multiple instance learning, panoptic