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) Experience in genomics, single-cell data, or machine learning (preferred) Why this is exceptional Build next-generation AI models of the human genome Work with one of the richest longitudinal PD datasets
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with contemporary machine learning methods. We are looking for an ambitious Postdoc who will lead our efforts on the design, implementation, and training of mechanistic models of cell organization. In particular, we
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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at the systems level. By integrating groundbreaking multiomic methods at the single-cell level with advanced experimental models, such as human organoids, the laboratory maps the molecular and cellular mechanisms
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, a novel spatial discovery proteomics concept that integrates microscopic cell phenotyping with deep-learning based image analysis and global MS-based proteomics. This unique method was recently
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broader research opportunities across multiple disciplines and institutions. Through this global job fair, candidates will have the opportunity to: Learn about cutting-edge research projects and Research
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Description VIB.AI, the VIB Center for AI & Computational Biology, is a young research center dedicated to combining machine learning with in-depth knowledge of biological processes. Our mission is
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models, for the analysis of high-throughput multi-omics datasets (especially single-cell and spatial omics), large textual corpora (e.g., scientific literature), and/or pathologic images. Our research
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extensive experimental enhancer characterization. Our goal is to reveal transcriptional mechanisms underlying cell-type–specific regulatory signals and to pinpoint disease-causal noncoding mutations
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-driven experiments, including CRISPR and Perturb-seq, single-cell transcriptomics, and spatial-omics screens. Human Technopole supports career development through training, mentoring and dedicated learning