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Field
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, Open RAN, 6G/NextG); Hands-on experience with cellular network platforms (e.g., O-RAN, srsRAN, OpenAirInterface, Aether/SD-RAN), edge/cloud computing platforms (e.g., Kubernetes, OpenStack), SDN, and/or
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About the Role This is an opportunity to join an established, high-profile, team that is working on various aspects of cloud computing and AI law. The appointment will be for an initial fixed-term
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analytics-driven research questions that lead to high quality publications. Experience working in interdisciplinary teams spanning clinical, wet-lab, and computational research. Familiarity with cloud
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maintain modelling, data management and cloud-based exchange systems to enable effective collaboration and delivery across the IGNITE Hub. Contribute to writing bids for research funding Collect, analyse
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evaluation Knowledge in biology and genomics Experience working with large datasets and numerical computing libraries (NumPy, Pandas, SciPy) Familiarity with Linux environments, version control (Git), cloud
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modelling of atmospheric chemistry and aerosol-cloud interactions. The successful candidate will work within UNIC to improve knowledge of the interactions between particulate matter emitted by aircraft
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workflows between field acquisition teams, data center staff, and research collaborators to ensure seamless data transfer and integration. -Support daily operations of servers, networks, storage, and cloud
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). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications Experience with multi-GPU model training and large-scale inference. Familiarity with modern AI
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data infrastructure and clouds in digitally mediated natural resource extraction and exploitation). The position is for three years, with the possibility of extension for teaching activities
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development and web-based applications, back-end services and API design (e.g., FastAPI, Flask), and deploying applications in local or cloud environments. Experience working with large-scale datasets