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biomarkers (ctDNA, immune profiling). - Experience working with large clinical cohorts. Specific Requirements Scientific environment: The successful candidate will join a highly interdisciplinary consortium
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. AI4GI develops tailor-made neural network architectures, including sparse and biologically informed models, to predict disease risk and complex quantitative traits from large-scale genomic data such as
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or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular biology. Languages skills: fluent command of English; knowledge of another
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network! 👉 An exciting, data-driven clinical research position to be filled quickly. ✨ Join a passionate team and contribute to impactful research at the intersection of health data and cardiovascular care
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brain. Our group has access to a large (~400 patients) dataset of multimodal neuroimaging and clinical data from ALS patients. By integrating multimodal patient data (MRI, DTI, fMRI, EEG/MEG) into