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: $150,000-$160,000 (depending on experience) Please note, this position is not eligible for H-1B or Green Card sponsorship. This position does not offer a STEM OPT training program. The University
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knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google Cloud. Acts as a technical consultant and resource for faculty research
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systems performance and ensuring interoperability across diverse platforms. This role requires a deep understanding of library systems, cloud computing, data analytics, and emerging technologies, coupled
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, and facilitate access to HPC and Cloud Computing services. The specialist also oversees the lifecycle of student and staff projects, from proposal to implementation. This involves providing expertise
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. Patrick Eriksson. For an overview of the research articles produced by the team, see https://orcid.org/0000-0002-8475-0479 An introduction to the datasets offered, so far, is found here: https://clouds-and
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Research Assistant 1 position is based in Prof. Jeremy Cooperstock’s research lab in the department of Electrical and Computer Engineering. Job Summary We are seeking a part-time Research Assistant to take
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for technical and non-technical audiences Build code: Integrate simulation models with existing codes Generate workflows or scripts to automate tasks on cloud computers Manage code with git/GitHub What You Will
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cloud computing platforms Experience working with older adults and/or patient groups (Desirable) Understanding of Parkinson’s disease (Desirable) Experience in machine learning/AI techniques (Desirable
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and requirements in a hybrid and cloud-centric environment (e.g. AWS Bedrock, Azure Foundry, Copilot, Power Platform). An understanding of Cloud, Managed Service and integration architectures for AI and
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Position available in the laboratory and research program of Dr. Lin Yee Chen at the University