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Together, these research directions seek to reimagine how buildings and cities operate—optimizing energy use, enhancing human well-being, and reducing carbon emissions at scale. We are seeking multiple
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position based in Boston, with the possibility of extension. The position will be considered hybrid, requiring several days in the Boston office in addition to virtual workdays to align with the team’s
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degree recipients interested in working to address the multiple challenges of inequality. This program intends to seed new research directions; facilitate collaboration and mentorship across disciplines
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background. The ideal candidate will have existing expertise in several of the following areas, aligned with our research focus: 1) Causal inference, invariant learning and representation learning
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. Ideal candidates will have demonstrably strong research skills, evidenced by multiple publications in top-tier machine learning or artificial intelligence conferences and/or leading scientific journals
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understanding the intricacies of plant chemistry and biology. Research in the Nett lab spans multiple, distinct projects that are all unified by the chemistry of plants, including: 1) evolutionary and biochemical
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on Institute needs. Newly constructed office and laboratory space in Boston’s Fenway District. Our space has multiple amenities which include: roof top terrace, fitness center, locker room, bike storage, and
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work arrangements for some administrative positions dependent on Institute needs. Newly constructed office and laboratory space in Boston’s Fenway District. Our space has multiple amenities which include
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topics is a plus but not required. Additional Qualifications Special Instructions The position is funded for multiple years, with an initial one-year appointment and the expectation of extension contingent
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sensitivity and selectivity with real samples. Design and implement strategies for multiplexed detection, enabling simultaneous analysis of multiple analytes from small sample volume; optimize sensor design and