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multimodal interaction. Our research aims to bridge the gap between visual perception and actionable assistance, with applications including: · Video-based skill coaching and instruction
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and ML pipelines for drug synergy, write code for data analysis and post-processing data. Training of models like CNN, RNN, Transformers with some work in classical machine learning with XGBDTs is
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of emerging diseases. The successful candidate must be able to develop code to generate simulations and analyze large, complex datasets. They will be expected to carry out independent research and analysis, as
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, infographics, videos and literature summaries for both internal and external stakeholders Develop cross-functional relationships across the organization through implementation of the Global Medical Strategy
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for epidemiology with some coding of simulations. Tentative start date: February 2026. This work will contribute towards the understanding of disease progression and building reinforcement learning frameworks
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, biomedicine, and other areas of societal importance. Coding and/or machine learning experiences are highly valued. Specific projects may involve developing multiscale simulation methods for quantum mechanical
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complex project. ● Eagerness to work as a member of a cross-disciplinary research team. Not Required but Preferred ● Experience mentoring undergraduate research assistants. ● Experience with coding
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control, unit testing, source code management, documentation, and CI/CD workflows. Candidates with prior experience in graphical user interface design, data visualization, and the publication and