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-driven mathematical modeling in a transdiagnostic clinical cohort. https://impact-mh.org/awardees/impact-mh/ IMPACT-Y is collecting repeated measures from approximately 2,400 individuals across multiple
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mechanisms understanding and optimize treatment for mental health using computational tools, with a particular focus on developing ecologically valid computational frameworks and models. Our research uses both
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to refine mechanisms understanding and optimize treatment for mental health using computational tools, with a particular focus on developing ecologically valid computational frameworks and models. Our
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multinational collaborators and funding agencies. The role oversees the daily operations of the Chair’s office and develops systems to track departmental and Chair‑related metrics. It creates data driven
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cell immunology, mucosal immunology, and cancer immunology using animal models and single-cell multiomics/spatial transcriptomics approaches. This postdoctoral researcher will combine wet-lab molecular
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applications through rigorous, hypothesis-driven biomedical research training. Training: Training includes molecular and cellular biology techniques, immunological assays, disease models, data analysis, and
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experimentation and data-driven analysis, and who is interested in translating genetic insights into biological mechanisms and therapeutic advances. Research Focus Immune and hematopoietic regulation in type 1
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or earlier. The location is at the Ho Lab at Yale University School of Medicine in New Haven. EDUCATION The education plan includes: (a) to conduct hypothesis-driven research on important scientific questions
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immunology, AI-driven discovery, and next-generation therapeutic development. Our lab studies how tumors interact with the immune system and develops new ways to interrogate and reprogram those interactions
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-driven research group working at the intersection of computational genomics, clinical artificial intelligence, and imaging genetics. This position offers an exciting opportunity to develop novel algorithms