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therapeutic target identification. GenePPS aims to overcome current limitations of perturbation modelling by integrating large-scale single-cell foundation models with structured biological knowledge encoded in
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members fostering a collaborative atmosphere (2 Professors, 4 PostDocs RA, 15 PhD students, 1 Research assistant). SpaceR's state-of-the-art facilities include two physical laboratories, the LunaLab and
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through the group of Prof Tejpar will put the postdoc in an ideal position to understand how the stromal interactions change under current novel treatments and could be harnessed as future therapies. The
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perturbation models that combine foundation models (FMs) and graph neural networks (GNNs) to accelerate therapeutic target identification. GenePPS aims to overcome current limitations of perturbation modelling
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-borne VFs, implicated in human diseases, with a particular focus on cancer. Our findings will broadly expand our current knowledge regarding the infective competence of the human microbiome. Overall
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of de-anonymization, including researching current de-anonymization strategies Investigate synthetic data generation methods and their utility Deploying and benchmarking the above-mentioned methods