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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
turbulence and transport, via the development of turbulence diagnostics: correlation ECE radiometry and fluctuation reflectometry. Will design and lead experiments on AUG at with an emphasis on the interaction
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, and Engineering at the Ångström Laboratory. We perform research within the development of miniaturized platforms and evaluation of new materials in interaction with biological systems to understand
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water remain poorly understood. These interactions shape local weather extremes and climate variability, but current models miss them. QUASI turns Lake Victoria—Earth’s largest tropical lake—into an open
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research interests of the Mathematics Area at GSSI are: Analysis of PDEs in classical and non-classical fluid mechanics, dispersive PDEs, hyperbolic systems of conservation laws, pattern analysis, numerical
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- engaged in constant interactions with proteins, other RNAs, and the ribosome - until it is inevitably degraded. How do these events coordinate in time and space? Why do some RNAs survive while others
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turbulence and transport, via the development of turbulence diagnostics: correlation ECE radiometry and fluctuation reflectometry. Will design and lead experiments on AUG at with an emphasis on the interaction
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permeability assays, murine injury and colitis models, and host-microbe interactions. Key Responsibilities The fellow will: Design and conduct independent and collaborative experiments in gut barrier biology
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generation of laser sources. These devices are based on a physical separation between electrical addressing and optical emission, enabling the design of addressable Tamm lasers with high potential
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interacting with a team of researchers from several universities. Knowledge of advanced statistics and experience working with MPlus, SPSS, R, and other statistical packages is required. Experience using large
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research methods on large, domain-specific scientific datasets. Major Duties/Responsibilities: Designing and developing foundational AI-driven techniques for the generation and exploration of complex, large