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the CERTAINTY project (Cloud-aERosol inTeractions & their impActs IN The earth sYstem), we are working to better understand the interactions between aerosols and clouds and their impact on the climate. This would
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Job description The project: Earth’s dominant cloud type per area covered is Stratocumulus. These low-level, shallow, horizontally extensive clouds cover one-fifth of the Earth’s surface. Changes in
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research. Particular attention will be given to the spatial and temporal dimensions of transportation impacts, differences between transport modes and geographical contexts, and the implications
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understanding of data quality, reproducibility and robust analytical practice. Experience of SQL, cloud-based or high-performance computing environments, and Bayesian methods would also be valuable. Beyond
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values across different omics layers and platforms. Cross-omics data fusion and representation learning for comprehensive systems biology modeling. Identification of causal relationships and biomarker
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machine learning frameworks (e.g., TensorFlow, PyTorch). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications: Experience with multi-GPU model training and
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 10 hours ago
application. NETL's goal is to create, maintain, and support a diverse environment that encourages creative ideas and leadership. In the words of former Lab Director Brian Anderson , "our differences make us
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an impact on climate via cloud formation. The MACS project aims to understand the role of mixotrophic protists in Antarctic C- and S-cycles. Such mechanistic understanding will help predict how changing ice
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an impact on climate via cloud formation. The MACS project aims to understand the role of mixotrophic protists in Antarctic C- and S-cycles. Such mechanistic understanding will help predict how changing ice