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is delivered through a blend of traditional on-premises and hybrid-cloud deployment models and underpins business-critical services across the University. The Senior Technical Lead will report on
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the Assistant Director on system modernization efforts, including migration of on-premises systems to cloud-based services. Maintain working knowledge of, and contribute to, systems and frameworks such as
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agent algorithms and debugging code. Strong problem-solving skills and ability to design and productionize solutions Experience with SQL, R, and/or Python programming Experience with cloud-based service
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in Python and/or R Experience with cloud computing and high-performance computing environments Ideal Candidate Profile We are seeking a computational biologist, biostatistician or bioinformatician with
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(web, cloud, and HPC). Designs and supervises scalable, secure system architectures leveraging technologies such as AWS (S3, EC2, SQS, SNS), Docker, and distributed computing frameworks. Oversees
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analytics. Advanced skill in using business intelligence tools to provide insights and tell data stories. Demonstrated experience in using advanced, cloud-based data platform environments, such as Microsoft
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environments, including vSphere 8.x and VMware Cloud Foundation (VCF) 9. This role requires deep expertise in virtualization, automation, and cloud integration within mission-critical environments. Key
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, including troubleshooting hardware/software and setting up and configuring new equipment Assist in maintaining media, database, and cloud servers that store large volumes of football program data. Maintain
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Learning (ML), Generative AI and modern cloud architectures. This role blends deep technical expertise with strategic leadership — influencing stakeholders, shaping policy and embedding sustainable AI
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Sciences. The project will examine aerosol–cloud interactions related to climate change, with a focus on aerosol optical properties and their three‑ and four‑dimensional physico‑chemical characteristics