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pediatric cancer genome database (St. Jude Cloud) and pediatric neuro-oncology data portal, as well as two of the world's largest pediatric survivorship studies. St. Jude offers highly competitive stipends
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related field. The ideal candidates will have experience in one or more of the following topics: deep learning for image and point cloud data processing, deep learning for time series data prediction
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, GEANT4) will be an advantage. A background in radiation oncology or medical physics will be an advantage. Excellent written and verbal communication skills. Experience with cloud computing and big data
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-microbe-pathogen interactions. -Maintain detailed laboratory records and organize computational work in the cloud. -Write manuscripts and take the lead in publishing scientific data in peer-reviewed
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yield optimization. Exposure to quantum chemistry (DFT) and molecular simulations is a plus. Experience with cloud computing and/or high-performance computing (HPC) resources. Application Process
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, including but not limited to algorithms, databases, cloud computing, machine learning, operating systems and security. Jobs Summary: UM6P invites applications for post-doc, in all areas of Computer Systems. A
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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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Description: Design and Implement Hybrid Data Architecture: Evaluate, configure, and manage cloud-native data warehouses for scalable spatial analytics Design data flows from warehouse to spatial databases
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theory and applications, instrumentation and signal processing and cloud microphysics and dynamics. Strong programming abilities (like Python), statistical knowledge, machine learning expertise, and data
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birds, especially those of inhabiting Polylepis forest of the Andes, but could also be expanded to cloud-forest species. Polylepis forests are today characterized by isolated fragments distributed from