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degree in a quantitative or computational field and have strong Python skills. Experience with AI or NLP methods, including LLMs cloud platforms, containerisation, APIs, relational databases and data
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cloud-native ecosystems that prioritize security and developer experience. Collaborate & Consult: Work alongside SEI experts to analyze customer requirements and translate them into actionable engineering
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cloud hosted, and be involved in the future planning and development of services. The role will assist in ensuring that the security of the network is aligned with university policies and will proactively
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of cloud services. Required Documents Resume Cover letter Life at IPAC People choose to work at IPAC for many reasons, and the casual, employee-centric culture often leads to fulfilling, long-term careers
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technical authority and platform owner for the organization’s Salesforce ecosystem. This role provides strategic direction, architectural leadership, and governance for a multi‑cloud, mission‑critical
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programming languages (Java, C, C++, C#, Python, JavaScript), technologies in the area of Internet-of-Things, web-based systems, databases, cloud computing, formal methods in CS Expertise in various application
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Abilities: Deep understanding of applications security risks (OWASP Top 10), secure software development lifecycles, secure application integration standards, and common vulnerabilities across modern (cloud
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, United States of America [map ] Subject Areas: Computer Engineering / Cloud Computing , Cybersecurity , Software Biomedical Sciences / biochemistry , cancer , development , genetics , genomics , infectious disease , RNA
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-investigator submissions, and contribute to sponsored project reporting and compliance requirements. Architect and maintain cloud-based ML environments (e.g., Azure, AWS, Databricks) including governance, role
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The System Administrator is responsible for working within the System and Server Engineering (SSE)Team to develop, implement, secure, and automate the management of enterprise VM, cloud-based