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to classify biological signals. Experience and understanding AI and Cloud computing. Collaborate with experimentalists and clinical researchers to design integrative computational analyses that inform
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Analytics, and Cloud Computing. · Demonstrated experience teaching at the college level. · Demonstrated commitment to excellence in undergraduate teaching to 1st generation and non-traditional
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including design and implementation of databases, plugins, both in the cloud & on-premises, with the goal of meeting research project requirements while improving operational performance and efficiency. Apply
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. Understanding of various Desktop Management Systems such as anti-virus software, patch management and software delivery 19. Ability to train, delegate and review the work of staff members. 20. Knowledge of cloud
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SCADA applications, GUI/HMI, PLC programs and edge devices. Create APIs for cloud applications. Digitally integrate new assets, test and commission hardware and software applications for microgrid field
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modern cloud AI platforms including but not limited to Azure AI and Google Vertex AI. Duties and Responsibilities: Design, develop, and deploy intelligent applications using LLMs (e.g., GPT, PaLM, open
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Higher Education or similar environment. 4. Experience with cloud-based platforms (e.g., AWS, Azure, Google Cloud) and modern software development frameworks. 5. Strong technical expertise in
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of where time frame may not be clear and where end results may be uncertain. What you bring: PhD in Computational Biology (or statistics with biological applications) Cloud computing experience. Proficiency
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of experience creating AWS Glue ETL/ELT jobs Work experience with AWS Cloud services like Glue, S3, Redshift, Athena, Lambda, Step Functions, AppFlow, Cloud Formation and Code Pipeline Three or more
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, phones, photocopiers, cloud-based systems, and AV/teleconferencing software & equipment. Physical Demands The physical demands described here are representative of those that must be met by you (with