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We are seeking a highly motivated Postdoctoral Researcher to join the FNR AI-HPC 2025 BRIDGES project GenePPS, which investigates how machine learning can enable prediction of gene perturbation
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experience in the following areas: Applied Machine Learning for Autonomous Systems: Experience developing and deploying ML models for perception, prediction, or decision-making in autonomous driving or robotic
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immune-mediated diseases by comparing treatment regimens and identifying multi-omics biomarkers that predict individual treatment response and toxicity. Through integrating clinical data, patient-reported
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BRIDGES project GenePPS, which investigates how machine learning can enable prediction of gene perturbation effects for drug discovery. The successful candidate will play a leading role in developing gene
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transcriptomics, and genome-scale auto-antibody profiling, the project seeks to uncover novel immune mechanisms underlying early neurodegeneration and identify potential predictive biomarkers and therapeutic
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attention to scientific rigor and interpretability Experience with XAI tools (SHAP, LIME, Integrated Gradients) to identify which features of the model are driving the predictions Clear written and verbal
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to uncover novel immune mechanisms underlying early neurodegeneration and identify potential predictive biomarkers and therapeutic targets. Key Responsibilities: Perform deep immunophenotyping of CD8 T cell