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, and MRV performance) and identify optimal deployment models coupled with learnings from forest management. Conduct techno-economic and life-cycle assessments (TEA/LCA) integrating forest operations
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research at an unprecedented scale. ROAR empowers educators, families, clinicians, and researchers with research-backed assessments to advance learning, accelerate research on learning differences, and
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and experimentalists working across species as part of SCENE The Tolias Lab fuses large‑scale systems neuroscience with machine learning to derive principled models of cortical computation. Our newly
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., diffusion transformers, multimodal representation learning) for modeling high-dimensional biological images. Develop computational methods to reconstruct and simulate 3D tissue architecture and dynamics
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practice and policy to increase equity and opportunities for all students. The SCALE Initiative partners with school districts, service providers, and umbrella organizations across the country to learn about
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Expertise in machine learning, including building and deploying prediction models Strong data science coding skills in programs and languages such as Python, R, Stata, and SQL Experience with research in
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receptor (CAR) T-cell therapies for pediatric solid tumors. The Ramakrishna laboratory focuses on optimizing CAR T-cell therapies for children with cancer by learning about the biology of these CAR T-cells
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scientists Expertise in machine learning, particularly in computer vision and in relation to multimodal sensing data, mobile crowdsensing technology, and predictive modeling Strong data analysis and
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, genomics, and epigenetics. Track record of productive research through first author, peer-reviewed publications. A self-starter, team player, with an eagerness to quickly learn new fields. Required