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Field
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Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 36-month PhD studentship will contribute to cutting-edge advancements in automated drug discovery through the integration of high data-density reaction/bioanalysis techniques, organic synthesis, laboratory...
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the use of manned boats impractical. To address these problems, an autonomous inspection system needs to be developed. The system should be launched from the shoreline and be capable of autonomously
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. Under these conditions, autonomic computing becomes essential. Devices must be capable of self-configuration, continuous optimisation, fault recovery, and adaptation to changing environments without
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that autonomously optimizes 3D velocimetry measurements by dynamically adjusting camera positions and optical parameters. Integrating the framework within a digital twin environment for pre-training and simulation
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This PhD at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project
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PhD Studentship: Autonomous robotics for enhanced water management, natural processes and resilience. Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,835 (2025
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capable of autonomously performing cardiac ultrasounds. The starting date will be agreed with the successful candidate. The workplace is at SDU's main campus in Odense, Denmark, and the work is expected
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generation of AI systems capable of reasoning, autonomous decision-making, task orchestration, and multi-agent collaboration. The successful candidate will work alongside an active research group specialising
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of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Safe Learning Based Control for Autonomous Robots in Dynamic Environments within the general
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Safe Learning Based Control for Autonomous Robots in Dynamic