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Machine Learning algorithms Experience in conducting neuroimaging studies in educational contexts Experience in working with databases. Responsibilities Liaise with stakeholders (E.g. participating schools
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, such as data storage, budgets, expenses, assets, and ethics approvals. Key Responsibilities: Design and implement research, including statistical models and algorithms to extract insights from data Develop
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10 years of research experience. Proven track record in research and development of algorithms. Proficiency in algorithm development and programming skills using MATLAB or Phyton. Knowledge of machine
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software modules, protocols, or frameworks that use NIST-standardized PQC algorithms Evaluate performance, interoperability, and security implications of replacing classical cryptographic schemes with
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software modules, protocols, or frameworks that use NIST-standardized PQC algorithms Evaluate performance, interoperability, and security implications of replacing classical cryptographic schemes with
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architectures to identify upgrade paths for quantum-safe migration Design, implement, and test software modules, protocols, or frameworks that use NIST-standardized PQC algorithms Evaluate performance
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algorithms. Maintain legacy Laravel/PHP components as needed. Maintain server deployment using XAMPP/Apache. Oversee the migration of the current DigitalOcean-hosted prototype to AWS, including setting up
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. Key Responsibilities: Conduct research and development of AI/ML algorithms, including Reinforcement Learning and multi-agent decision making, for advanced ATFM concepts. Perform data mining, data
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applicant is expected to be familiar with fully homomorphic encryption and its applications in AI models. Key Responsibilities: Conduct research into trust technologies testing – translating algorithms, tools
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(networked) dynamical systems" (broadly defined) and there is ample room for exploring sub-topics depending on the interest of the candidate. The focus will be on deriving efficient algorithms with provable