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troubleshooting and optimization to maintain service continuity and quality. Implement and maintain robust network security measures, enforce access controls, and ensure compliance with relevant cybersecurity
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into forecasting frameworks. 6) Support Sustainability Initiatives Provide insights that help optimize renewable energy integration and reduce carbon footprint. 7) Communicate Insights Present findings through
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The research associate will be working on machine learning (ML) models and automation for optimizing optical setups at the centre. The key job responsibilities are listed below: The research staff
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languages; A good record of publications in reputable peer-reviewed journals or conferences in maritime transport, logistics management, machine learning, deep learning, and optimization; Proficient in
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Responsibilities: The successful applicant will be responsible for the development of Performing literature review and background study on collaborative AI Apply knowledge on foundation models to optimize training
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Responsibilities: Conduct programming and software development for big data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations
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coordinating transformation activities, optimizing system setups (such as SharePoint), developing Standard Operating Procedures (SOPs), and facilitating knowledge-sharing initiatives. Working closely with
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Responsible for design, investigation, and optimization Research experience in research and development of diagnostic devices and microfluidic devices Good track record of scientific research We regret
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to collaborate with scientific teams at CEA, France. Key Responsibilities: Investigate how plasma shaping influences turbulence in tokamaks, with the goal of understanding and optimizing its role in enhancing
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to etch novel lattice patterns Perform optical characterizations of structures using various optical spectroscopy Collaborate with theoretical researchers in the design and optimization for new fundamental