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external) is reimagining the experimental neuroscience pipeline with big data and AI at its core. A central goal of the project is to build a foundation model of the visual brain—a “digital twin” that
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hematopoietic stem cells and cancer stem cells. The individual will work closely with experimental biologists to translate computationally-derived results into experimentally testable hypotheses and analyze
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the tensor network simulations using HPC resources for selected case studies. Analyze simulated data and compare directly with RIXS experimental spectra; assist in data interpretation and (if applicable
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, and clinically relevant biomarkers of disease severity These projects emphasize mechanistic rigor, experimental leadership, and translational relevance. Core Experimental Approaches Depending on project
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evolution, as well as their intersection with AI systems for generative biology. This position offers a unique opportunity to bridge powerful experimental methodologies with increasingly advanced generative
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experimental retinal biology, with strong mentorship and career development support. Primary Responsibilities Research and Experimental Work • Perform and lead bioinformatic analysis of single-cell RNA
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committed to mentorship while prioritizing scientific independence. The lab environment supports autonomous project leadership, with strategic guidance in experimental design, publication planning, and grant
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closely with experimental biologists to translate computationally-derived results into experimentally testable hypotheses and analyze the resulting data from the experiments. Required Qualifications
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well as their intersection with AI systems for generative biology. This position offers a unique opportunity to bridge powerful experimental methodologies with increasingly advanced generative models within a well-resourced
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investigating stromal cell biology in autoimmune disease, developing and implementing innovative experimental approaches, collaborating with team members and other research groups, contributing to grant proposals