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with cloud computing Willingness to learn new languages and tools as the field grows SUPERVISORY RESPONSIBILITIES: This position will involve co-mentoring of students joining the group as described above
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the development of multi-agent systems; - Experience with cloud technologies and platforms (Azure, GCP, AWS) and deployment of solutions in on-premise infrastructures - Demonstrable experience in developing
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should be a step up in accuracy from previous landcover and carbon maps due to increased field data, satellite data, and analytical tools. The expectation is that the mapping will be done using cloud-based
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for cloud-hosted AI services and edge-assisted offloading strategies. Analysis of theoretical latency and timeliness for cloud-hosted AI services and edge-assisted offloading strategies. Design and
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activities. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Applied Mathematics or equivalent. Strong software background in software engineering and cloud computing systems. Strong
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machine-learning frameworks, Language model customization and agentic AI frameworks, Cloud platforms Written and spoken English proficiency. International candidates that are not exempt from
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applicant will have a PhD in vision science, computer science, or a related field. Experience in cloud-based and mobile image processing for rapid object and face recognition and in use of head-mounted eye
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continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud-based services). Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate
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studies Adapt, extend and maintain modelling, data management and cloud-based exchange systems to enable effective collaboration and delivery across the IGNITE Hub Person Specification Hold a Batchelor
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, toxicology, or pharmacology Understanding of biological pathways and their relationship to disease mechanisms or drug response Experience with cloud computing environments and large-scale data processing