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Field
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evolutionarily conserved structured RNAs and candidate mammalian riboswitches from large genomics and transcriptomics datasets. The position will involve close collaboration with experimental scientists who will
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 15 days ago
degree in a relevant STEM field, including Meteorology, Physics, Mathematics, or Computer Science. -Advanced programming skills with experience handling and analyzing big data (e.g., Python). -Previous
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part of AgriLife and make a difference in the world! Position Information Darwish Research Laboratory at Texas A&M AgriLife Research seeks a highly motivated Postdoctoral Research Associate to play a
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paradigm, and an NIMH study focuses on depression and anxiety genetics in large biobank samples. Through these and several other current projects, we have access to large datasets, including the Million
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quality control and initial data handling for next-generation sequencing datasets. The successful candidate will independently interpret QC metrics, troubleshoot sequencing issues, and support the growing
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of epidemiologic methods, observational study design, cancer outcomes research, population health, and health disparities research. Experience analyzing large secondary datasets, claims data, registry data, EHR data
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to tackle research that incorporates Engineering Mechanics, Structural Engineering, AI and Data Science. The candidate will assist the DISCOVER lab with managing existing research projects and preparing
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 15 days ago
electronics for microwave multiplexing of large arrays of superconducting transition-edge sensor (TES) bolometers and kinetic inductance detectors (KIDs) to enable the next generation of ground-based, balloon
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, or biostatistics. Computational skills, including experience with bioinformatic tools and packages, are needed. Experience with data mining, especially for ‘omics’ datasets, or developing pipelines/software
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and tools. Ability to work with large observational, reanalysis, remote-sensing, and operational ocean/environmental datasets and to integrate these data with physics-based models. Knowledge of model