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cloud-based geospatial analysis. Spatial visualization, mapping applications, and predictive ecological modeling. Applicants must possess a valid U.S. driver's license (or obtain one within 60 days
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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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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
, or parameter identification Proficiency in Python and frameworks (e.g., PyTorch, TensorFlow) Knowledge of HPC, scientific computing, cloud computing, MLOps, or scientific software development Relevant scientific
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as part of the project “UNDER THE CLOUD – Knowledge, democracy, and community rights in Norway’s data centre landscape,” while achieving your doctorate degree. In this manner, you will gain valuable
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
an independent research program. * Experience utilizing high-performance computing or cloud-based environments for large-scale biological data analysis. * Demonstrated record of original scholarship, including
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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-tuning, or related optimization methods. Experience with cloud infrastructure, MLOps or LLMOps, containerization, or production deployment. Frontend and/or backend development skills. We offer ETH Zurich
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
identification; Proficiency in Python and frameworks such as PyTorch, TensorFlow, etc.; Knowledge of HPC, scientific computing, cloud computing, MLOps, or scientific software development; Relevant scientific and
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JavaScript/TypeScript. Knowledge of cloud platforms such as AWS for deployment is a further advantage. The successful candidate must demonstrate excellent analytical and problem-solving skills, strong written
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(PDEs), and linear algebra Experience with high-performance computing (HPC) or cloud-based simulation acceleration Experience with integrated photonic device fabrication and light-matter interactions