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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
. Selected innovators get the backing of MIT and our community of supporters to scale their impact and drive lasting change. The full job description is here: https://solve.mit.edu/careers
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://www.nature.com/articles/s42256-021-00368-1) or executing large-scale meta-analyses of mass spectrometric datasets (https://www.nature.com/articles/s41592-021-01194-4). The research is computational in nature but
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large-scale (multi-$M) research alliances with industry in collaboration with relevant faculty. Partner with faculty to write/develop research white papers and research proposals for industry at multiple
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Mental Health Services Administration (SAMSHA). The projects aim to build school districts’ capacity to implement a comprehensive multi-tiered systems of support (MTSS) for student mental health in
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/technology, life sciences, or related sectors. Demonstrated success in building and scaling large, complex, multi-stakeholder initiatives or organizations—including experience in startup or consortium
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Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | 6 days ago
-scale (~10’s of km2) permafrost thermo-hydrological hybrid twin, to be coupled with state-of-the-art freezing/thawing soil mechanics machine learning-based surrogate models (Richa et al., 2024, Tristani
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data and high-throughput, multi-dimensional -omic data to study neurodegeneration and diseases of the central nervous system, with an emphasis on Alzheimer disease, Parkinson’s disease, and other
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This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification
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to interdisciplinary collaboration and educational excellence. Preferred Qualifications • Experience leveraging AI with large-scale biomedical/clinical datasets, such as EHRs, bioinformatics, multi-omics, diagnostics
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. Nous fournirons ainsi la première interprétation des spectres γ des SNRs reposant sur une étude multi-longueur d'ondes. Cette approche sera généralisée sur un échantillon statistique de SNRs afin de