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Field
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status of tomatoes for human health. You will generate dedicated (single-cell) transcriptional data sets feeding into the MNase-defined cistrome occupancy (MOA-seq) analysis of transcription factor binding
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to cardiovascular risk in Psoriasis and Psoriatic Arthritis: Biomarkers and New predictive tools”, with identification code PI-0226-2025, within IMIBIC research group GC05 “Chronic systemic autoimmune-inflammatory
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(ar)rivals: Perceptions of Threat, Inequality, and the Risk of Violence between Different (Forced) Migrant Groups in North Africa” (MixedRivals) investigates relations between different (forced) migrant
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facing our world today. Drawing together a unique cohort of scholars, the Department includes expertise in the physical and social science dimensions of climate change, water, urban sustainability, risk
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 16 days ago
. Description: Under the guidance of a mentor, the participant will engage in a NASA-aligned research project advancing data-driven approaches to characterize wildfire risk and post-fire vegetation recovery
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duties and responsibilities include: computational (meta)genome mining and quantitative data analysis of biosynthetic and catabolic genes and clusters, pathogenicity genes and other functional genes
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biogeochemistry. Experience applying machine-learning or AI methods to environmental data analysis, model calibration, or model-data integration. Experience synthesizing multi-source, multi-scale observational
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: Exempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary Baylor College of Medicine is seeking a highly motivated Postdoctoral Research Associate for an integrative analysis of transcriptomic
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play a key role in ongoing clinical trial on exercise research and developing studies investigating the interplay between longitudinal cognitive outcomes, neuroimaging and vascular risk factors using US
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National Institutes of Health (NIH) | National Institute of Technology, Tamil Nadu | India | 19 days ago
is to identify the genetic and molecular factors that influence disease risk, progression, and clinical heterogeneity, and to leverage genomic and multi-omic technologies to develop novel biomarkers