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toolchains Familiarity with distributed training/inference, AI system bottlenecks, and performance tuning Prior experience with cloud computing and AI system deployment in production settings
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extracting high value from data. To achieve this, IDLab performs fundamental and applied research on Internet technologies and distributed intelligence. The selected applicant’s research should synergize with
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and Delivery: Design and develop training programs on Data Science and AI topics, including machine learning algorithms, data visualization, and statistical analysis. Provide foundational sessions about
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distribution of tasks Continuously evaluate and optimise resource utilisation to improve efficiency Laboratory Management Oversee and coordinate the technical support of research and education activities
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responsibilities Coordinate activities with other wet-lab technicians to ensure duties are distributed evenly. Maintain detailed and accurate records. Troubleshoot and resolve technical issues
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platforms. Besides optimizing the hardware deployed in the field, the focus is on developing algorithms and associated software to efficiently generate reliable high-resolution datasets. The project focuses
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into account typological and technological variability, changes in raw material preferences, as well as the spatial distribution of the finds within their respective find contexts). In addition, you will assist