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), or reinforcement learning (RL) post-training. Experience with multi-GPU training and a strong working knowledge of reinforcement learning are also required. Familiarity with standard software development tools
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implementation of SEL (social and emotional learning) and foster those skills in all stakeholders in these communities, including in families and out-of-school time. We test and refine each element of our work
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a robust academic and professional network, preparing for leadership roles in academia, policy, or industry. Receive the IT support required by their research (e.g. specialized software or computation
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required. Excellent writing skills and verbal communication skills are mandatory. Experience with database software is preferred, especially REDCap. Prior experience in a clinical setting is preferred, with
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work, designing rigorous analytical plans to test these hypotheses, lead the necessary data collection and analyses, writing manuscripts and grant applications, and presenting at local, national and
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single-cell or spatially resolved genomics methods Testing therapeutic interventions in models of ovarian and cardiovascular aging Designing in vivo lineage-tracing and labeling strategies paired with high
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professional network, preparing for leadership roles in academia, policy, or industry. Receive the IT support required by their research (e.g. specialized software or computation time). Additional Information