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Field
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: The team at Imperial College London is specifically tasked with finding the optimal biomarkers of meditative and transformative experiences, and to develop a biologically interpretable computational model
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with the implementation of new and refined processes and systems to ensure standardisation, consistency and optimal functioning across all activities. You will have: Professional knowledge of clinical
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analytical thinking and problem-solving, with a focus on optimizing business processes through technology Academic acumen to enable successful reporting through research publications in academic journals and
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integration, aligned with Industry 4.0 principles Numerical and process simulation models to identify optimal mesh sizes, structural integrity, thermal management, and efficient production flow Detailed
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regulatory and contractual requirements Ensure that trials, once funded, are scheduled optimally to enable the study to proceed according to the timelines Assist with the development of protocols and trial
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, there is still much to learn about how to combine these treatments effectively. In this role, you will support a groundbreaking study aimed at identifying optimal combinations of phages and antibiotics
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process from adversarial attacks, ensuring user data privacy. Optimize the integration of heterogeneous data sources (e.g., vehicle telemetry, traffic cameras, sensors) within the Federated Learning
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research to real-world utility? The University of Bristol has the ideal opportunity in UAV's autonomy and flight optimization for you! We are looking for a talented and motivated research associate or senior
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an advanced Reinforcement Learning model, automating optimal matching of candidates to departments and universities; and integrate front-end applications, optimising dashboards and user experience. Person
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the functional significance of data obtained from transcriptomic analysis. Data from this PhD studentship will be fed back into the main project informing which cell types should be targeted for optimal