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therapeutic targets, and support highly translational research initiatives. Key Responsibilities Experimental Design & Execution: Develop and execute in vivo studies using murine models to investigate
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projects independently Ideal Candidates Experience with gene delivery (mRNA, DNA, CRISPR) Background in cartilage, ECM transport, or polyelectrolyte systems Prior exposure to translational or industry-linked
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. Strong theoretical expertise in mathematical statistics, information theory, and the principles of signal estimation and detection, with the ability to translate these foundations into rigorous models and
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artificial intelligence (AI) methods that propose, prioritize, and interpret experiments, accelerating the discovery and optimization of catalytic materials for energy and sustainability applications
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directly from raw signals. The work spans algorithm development, advances in model-based AI, and translation to real-world clinical applications, offering an opportunity to contribute to next-generation
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for Systems Neurogenetics of Addiction (CSNA), together with additional datasets from ongoing NIH-funded studies at The Jackson Laboratory. A major focus of the project is cross-species translation. Using
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with additional datasets from ongoing NIH-funded studies at The Jackson Laboratory. A major focus of the project is cross-species translation. Using publicly available human genetic, microbiome, and multi-omic
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or in situ characterization techniques for deformation measurements. Ability to analyze and interpret experimental data and develop physics-based models (e.g., porous electrode theory and single-particle
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able to analyze and interpret data from different sources, draw relevant conclusions from existing literature, and demonstrate growing knowledge in specialized disciplines. This role will also be
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Key Responsibilities · Design, execute, analyze and interpret experiments independently · Present research findings at lab meetings and scientific conferences · Help with mentoring of undergraduate and