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Field
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 6 days ago
. Description: Soil moisture and precipitation are two views of the same land–atmosphere exchange: rainfall drives soil moisture dynamics, and the land surface retains a measurable memory of precipitation. This
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Research Agency] project between LATMOS and INRIA, the project aims to compute wet-bulb temperature, a habitability and thermal stress index, from satellite data, and in particular the IASI and IASI-NG
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The Geeleher Lab tightly integrates wet-bench and computational approaches to improve outcomes for children with cancer, with a particular focus on neuroblastoma and other high-risk pediatric solid
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collaborative research combining functional models of acquired drug resistance with the clinical validation of novel circulating tumor DNA (ctDNA) assays. While the primary focus is wet lab experimentation
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using qPCR. Develop AI-driven bioinformatics pipeline and analyze multi-omics data. Perform soil sampling and experiment design. Measure soil properties—soil pH, moisture content, Inorganic N, etc. Soil
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(patch-clamp) Functional drug screening You will work in a collaborative environment where we combine functional assays in the wet-lab with analysis of human tissue and clinical data in order to understand
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together with evidence of having collaborated with both wet and dry lab researchers to complete a project. You will demonstrate experience handling and dissociating human tissues including skin as well as in
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The Geeleher Lab tightly integrates computational/AI-based analysis of high-throughput genomics datasets (e.g. single-cell / spatial genomics, functional screens) with wet-bench experimental work
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of the applicant will be either computational biology, wet-lab or a hybrid of both depending on the successful candidates expertise. There will be strong opportunities for continued professional development as part
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
connections between wet and dry lab, bringing together computational biologists building new methods at the interface of structural biology and machine learning and experimentalists studying how proteins