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and skilled Postdoctoral Researcher to join an interdisciplinary project focused on 3D geometallurgical modeling, mining environmental risk assessment, and the valorization of mining waste. The
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
with wildfire risk indices, fire behavior, and ecological processes. Proficiency with quantitative analysis tools and programming languages used for large datasets. Excellent communication skills and
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. This is an entry level position for a candidate who has recently completed a PhD in transportation engineering or planning, air pollution modeling, health impact and risk assessment of air pollution and/or
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at risk of developing depression. Working with a multidisciplinary team, including experts in lived experience, clinical research, and digital mental health, you will co-design and implement a feasibility
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experiences influence maladaptive behaviors and outcomes. We leverage smartphone-based real-time monitoring of thoughts and behaviors to better understand the proximal risk associated with interpersonal
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unique opportunity to work on a cutting-edge project involving multiomics data analysis of myeloma genomes, focusing on structural variants and heterochromatin rearrangements. You will have the chance to
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radiation-induced reaction kinetics and mechanisms, including pulse radiolysis experiments on ACER’s accelerator facilities. Data analysis (e.g., fitting transient absorption data, making plots of spectra
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computational analyses of epigenomic/transcriptomic data and machine learning. Experience in single-cell omics data is desirable. The post holder will be responsible to develop pipelines for the analysis
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experts in immunology, microbiome, and translational studies. Key Responsibilities : · Evaluate human serum from a large cohort of individuals at-risk for developing RA for the presence of anti
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genome-based influenza and/or SARS-CoV-2 risk assessment algorithms, designing broadly protective influenza and SARS-CoV-2 vaccines using Machine Learning and Artificial Intelligence, modeling the impacts