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Field
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. These instruments may combine optical components, laser and spectroscopic methods, spin-control or magnetic-resonance techniques, electronics, data-acquisition hardware, and software control. The candidate will use
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stereochemical control, and materials fabrication and characterization to develop next-generation precursors for high-performance carbon fibers. Specific to this position, the successful candidate will focus
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data. Leading statistical analysis (methods may include IPTW-weighted Cox regression, active comparator new-user designs, self-controlled case series, propensity scoring). Developing and extending an AI
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) diversity, (v) online controlled experiments, and (vi) network science. The ideal candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science, Computer
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
route characterizations with surveys and interviews; conduct controlled testing to assess accuracy, feasibility, and participant burden; lead community-engaged research using Participatory Action Research
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, the oxidation state and the route. Your job is to control these factors, to grow single crystals that would settle various scientific questions, and then to extend the family. Main responsibilities Grow single
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, randomized controlled trials, and analysis of observational data. The research also includes methodological contributions related to consumer behaviour, preference elicitation, and decision-making under
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tissue-specific mutant mouse models to investigate the underlying mechanisms controlling muscle growth and metabolic flux. The projects are multidisciplinary with excellent opportunities for advanced
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in complex operation environments Working with rapid prototyping tools (dSPACE) to recreate charging profiles and communication protocols of electrical vehicles Working with IoT, meters, controllers
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. In this role, you will leverage large-scale, heterogeneous datasets to develop and deploy AI-driven methods for: Real-time quality monitoring and control of manufacturing processes Understanding