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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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. * Proficiency in R, Python, or related software and programming languages. * Experience with big data, linux systems, and remote computing clusters. * Knowledge of genome-wide approaches and other statistical
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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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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
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Research Skills: Proficiency in quantitative research methods and statistical software (e.g., SPSS, Stata, R). Publications: A demonstrated track record of academic publications and research outputs