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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 01-Jul-26 Location: Cambridge, Massachusetts Categories: Academic/Faculty Physical Sciences Internal Number: 16447
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 13-Jul-26 Location: Cambridge, Massachusetts Categories: Academic/Faculty Biological/Biomedical Sciences Internal
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will lead and participate in observations and data analysis across the electromagnetic spectrum, or will lead work on machine learning classification of optical transients. Applicants with previous
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the intersection between quantum information and particle physics. The successful applicant will work in Professor Carlos Argüelles’ group on the development of new algorithms to encode and process particle physics
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, neural data analysis, or modeling neural activity from large-scale recordings. Ability to work effectively in a collaborative research environment and communicate technical work clearly. Additional
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computational biology or biological data analysis. Strong candidates may come from protein-focused, cell-state-focused, or multimodal biological modeling backgrounds and will have expertise in one or more of the
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Qualifications Applicants should submit a cover letter, CV, list of publications, and a research proposal explaining research interests (no page limit). Please also provide contact information for three references
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research environment and communicate technical work clearly. Additional Qualifications Experience with foundation model training, post-training, adaptation, or evaluation Experience with agentic workflows
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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
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-scale observational studies, with a particular emphasis on environmental exposures and public health. Core data resources include nationwide claims, linked with rich contextual information such as census