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. Excellent communication skills and ability to work in a multidisciplinary environment. Familiarity with cloud-based computing platforms (AWS, Azure, Google Cloud) and high-performance computing (HPC
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Qualifications: Experience working with bacterial genomic data. Knowledge of bacterial genetics and evolution. Experience developing software tools for bioinformatics applications. Experience with cloud computing
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clouds through star-forming regions to planetary systems. Laboratory simulations under astrophysically relevant conditions will provide key insights into asymmetric photochemistry and post-irradiation
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at the University of Oxford. The position is funded by the EPSRC-FNR project “FleXEdge - Data-Driven Cloud-to-Edge Computing for Scalable Near Real-Time Local Flexibility Markets”. It is fixed-term for 36 months
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 25 minutes ago
. Description: NASA has been making regular global measurements of aerosols and clouds from space for more than two decades. Validation of the accuracy of these measurements relies heavily on data from ground
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The Aerosol and Cloud Microphysics group, part of the Center for Chemistry of Clouds (C3), at the Department of Chemistry, Aarhus University, is inviting applications for a 1-year full time postdoc
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Postdoc in atmospheric chemistry on investigating the phase behavior of secondary organic aerosol...
The Aerosol and Cloud Microphysics group, part of the Center for Chemistry of Clouds (C3), at the Department of Chemistry, Aarhus University, is inviting applications for a 1-year full time postdoc
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for biological data analysis • Knowledge of tumor microenvironment and cancer immunotherapy concepts • Track record of peer-reviewed publications in relevant fields • Experience with cloud computing, version
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familiarity with supercomputing or cloud platforms. Experience with AI/deep learning beyond simple tools (e.g., Random Forest, ANN), particularly in integrating physical models and AI algorithms. Knowledge
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). Analysis will be performed on collaborative cloud computing environments using the extensive computing infrastructure developed by the Sanders Lab. You will be involved with all aspects of the data analysis