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at a later stage however, currently available and relevant examples include CIC-IDS2017(4), CSIC 2010 HTTP(5), and BCCC-cPacket-Cloud-DDoS-2024(6). • Conduct initial analysis of candidate features
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learning and cloud-based architecture skills to lead the fine-tuning/training, design, development, and integration of the AI components of the AiCT-Med platform. Candidates from diverse backgrounds in AI
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, cybersecurity, computer networking, machine learning, AI, ERP and cloud computing Conduct research with colleagues. Strong data analytics skills, including the ability to work with large sets of structured and
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regular meetings with the research group. Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Proven experience working with LiDAR sensors, point cloud data
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Engineering, Computer Science, or a related field. Proven experience working with LiDAR sensors, point cloud data processing, and sensor integration. Strong background in signal processing, computer vision, or
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measures against common threats like DDoS attacks, SQL injection, and cheating. Experience in multiplayer game services such as Azure PlayFab, AWS GameLift, Google Cloud Servers, and other similar services
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operationalise of remote sensing processing chains and their deployment in cloud using the latest approaches to the containisation and orchestration Grade 8 Lead the development of new and innovative optical
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tools (e.g. kneadata, metaphlan2, HUMAnN) Experience working in high performance computing cluster Experience in AI/ML, cloud computing, web development are assets Hiring Institution: LKC
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web frameworks, REST/GraphQL APIs, automated testing). • Continuous integration and continuous delivery (CI/CD) in a cloud environment. • Functional validation and performance of the prototype in a
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Python and/or R is preferred. Experience with cloud computing is a plus. Willingness to learn new languages and tools as the field grows. Supervisory Responsibilities: This position may involve co