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strong, demonstrated interest to conduct academic research in a relevant field Interest in legal research Interest in causal inference and social science Experience with machine learning / deep learning
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, influence the present, and shape the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day. DEPARTMENT DESCRIPTION: The Department of Classics is one
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to solve biomedical problems, or a PhD in biomedical sciences with a strong interest to apply AI and machine learning approaches. With our strong commitment to translating research findings to actionable
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machines that both learn from humans and help humans learn. The postdoctoral fellow will lead a project using AI technologies to support active learning in young children, by empowering them to create
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into the future. Strong candidates will be expected to have > 5 years of experience in these areas. Significant Data Science/Advanced Computational Modeling/Machine Learning/Big Data Analytics Experience and
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include, but are not limited to, using the latest computational learning-driven approaches, including computational social science, foundation models and multimodal machine learning, to enhance
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a unique opportunity to work in a cutting-edge, interdisciplinary environment, leveraging a novel in-vitro model of the human uterus and/or cutting edges machine learning techniques to make
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problems and associated potential technology solutions, including machine learning and artificial intelligence; (b) iterative experiments that test and deploy technology-driven solutions to optimize
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(PhD, MD, or equivalent) conferred by the start date. Proven research and/or professional experience in machine learning and/or natural language processing, with a preference for prior experience working
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. • Develop computational and theoretical models that bridge neural data and behaviour, leveraging modern machine‑learning toolkits. • Drive multi‑lab collaborations across SCENE; co‑author high‑impact