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using advanced computation tools (cloud system and supercomputer) and data analytics tools is also preferred. About the Department The Department of Bioproducts and Biosystems Engineering (bbe.umn.edu) is
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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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(636) St Cloud (1) Rochester (8) Morris (10) Duluth (35) Crookston (31) Austin (6) All Other -See Job Description (35) Twin Cities (636) St Cloud (1) Rochester (8) Morris (10) Duluth (35) Crookston (31
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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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communication skills in English are required. Assessment criteria: Good programming skills (e.g., C++, Python, Julia), knowledge of the most common frameworks, e.g., Tensorflow and JAX, and cloud platforms/deployment
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. the investigations into the physical consistency between different satellite-derived climate data records (e.g. aerosol and cloud properties), and the impact of inconsistencies in the data on applications. the quality
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leader in improving healthcare access and outcomes in rural Minnesota and American Indian/Alaska Native (AI/AN) communities. In partnership with CentraCare, the regional campus in St. Cloud offers a wide
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input sanitisation techniques; Contributing to data system evolution in the domain of zero-trust, cloud-native, infrastructure- and policy-as-code applications; Run-time anti-tamper and detection software
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and sets up experiments in hybrid research environment. 2. Researches artificial intelligence/machine learning algorithms, database design, deep learning, big data, and cloud computing. 3. Publishes
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position is supported by a wider project, which is monitoring ecosystem functioning in tropical montane cloud forests (TMCF). The core study site is in a Peruvian TMCF, where several large-scale experiments