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Methods In this project we want to provide a better understanding of how cloudiness affects, and is affected by, environmental factors called “cloud controlling factors”. Success of this goal will be
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expand current technology to include automated live analysis, integrating machine learning algorithms capable of interpreting the complex behavioural patterns of mussels in response to environmental stress
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to address urgent challenges in animal conservation and welfare. However, existing technologies have mostly been developed for use in controlled laboratory settings and are often unsuitable for field
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About the ProjectProject details: Next-generation networks are rapidly outscaling the capabilities of traditional management paradigms. While early AI/ML models offered a degree of automation, they
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and external partners. Benefits: Automation of screening with ML can enable more regular eye screening for patients. This will reduce the undetected cases of retinopathy, enable retinal issues to be
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, motivation, and motor control, as well as in pathological conditions like Parkinson's disease and addiction. However, real-time, wireless detection of DA with high precision remains a challenge. Existing
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bring together controlled sediment experiments using the world-class Umeå Mesocosm Facility (time funded by the CONVEX seascape survey) and results from PML’s sediment disturbance experiments, within the BROM
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(R2) Positions Postdoc Positions Country United Kingdom Application Deadline 8 Oct 2025 - 23:59 (Europe/London) Type of Contract Temporary Job Status Full-time Hours Per Week 36.5 Offer Starting Date 5
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of wireless activation and communication systems that enable safe, efficient, and selective control of the implantable neurobots. This includes developing wireless energy transfer technologies, external
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aid in environmental monitoring and pollution control. The outcomes will shape into practical guidelines and recommendations for policymakers and engineers to support adoption of the new designs in