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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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Programme Description The Centre for MoDDD at the University of Hertfordshire invites applications for a PhD candidate to join a 3-year QR-funded research project on repurposing drugs against
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to undertake a PhD. Please also state how you learned of the studentship. For queries regarding the studentship, please contact Jo at BalasubramanianRecruitment@ch.cam.ac.uk . Interviews will
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. MSc or PhD would be advantageous. Strong laboratory/research skills in a closely related field. Experience of anaerobic microbiology (sterile techniques). Experience of separation and identification
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, temperature, CO2) conditions from pole-to-pole. This work will be done at UEA. Training The PhD candidate will acquire skills from the bench (e.g., PCR, cloning, phenotyping) to bioinformatics (e.g., Phython
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atmosphere (1). Research Methodology: The primary objective of this PhD studentship is to develop near real-time capability for top-down ffCO2 quantification, based on synchronous changes in atmospheric CO2
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; biogeochemistry and fisheries modelling). The PhD candidate will acquire and/or strengthen their understanding of interdisciplinary working, modelling and statistics applied to economics, trade-off analysis skills
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filled. This fully funded PhD explores AI-native and sensing-aware wireless systems where communications and sensing are co-designed end-to-end. You will unify modern machine learning, statistical signal
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, neuroscience, machine learning, or related fields and/or merit/distinction-level performance in a relevant postgraduate degree (e.g. MSc) Experience of working in a neuroscience, clinical or engineering research
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A fully funded 3.5 years PhD position in developing software and computational tools for sustainable supramolecular materials design is available in the group of Assistant Professor Andrew Tarzia