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learning (AI/ML) being a major focus. Many of the laboratory's interests center around the identification of small molecules using mass spectrometry data, and the use of language models to predict
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learning, statistical modeling, or advanced analytics applied to complex industrial, energy, logistics, manufacturing, or supply chain systems. Experience developing and applying optimization models, such as
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methodologically driven research environment. The position emphasizes the development and application of advanced analytical approaches to address fundamental questions in cancer disparities, while building a strong
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based in the Department of Supply Chain Management. The successful candidate will contribute to research at the intersection of people-centric operations, social sustainability, analytical modeling, and
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science, or a related field; experience with using and building machine learning models, developing and validating computational analysis workflows, and developing circuit models is preferred; excellent
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 29 days ago
/Administrative Internal Number: 25565 POSTDOCTORAL ASSOCIATE, McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, to develop computational circuit models, analytical theory, and
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learning analytics, with a focus on the deployment of eye-trackers or fNIRS devices; creating end-to-end prototypes of AI systems, including LLM integration, backend development, and interface design and
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change via reform efforts inspired by Science Education Research and/or the Learning Sciences. The Post Doctoral Scholar will be expected to contribute to the design of qualitative (e.g., semi-structured
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regression, Cox proportional regression model, Poisson regression model) and Big Data analytics (e.g., machine learning, artificial intelligence [AI], text mining, generative AI) Knowledge/Skills/Abilities
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://doi.org/10.1126/sciadv.abh1275 ; highlighted by @NCIgenomics as the #1 favorite paper of the year), Analytical Chemistry (https://doi.org/10.1021/acs.analchem.4c05138 ), and Cancer Letters (https