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to start in September (Semester 1).ContactFor informal enquiries about this opportunity, please contact Salvatore GRASSO.ApplyStart an application for this studentship and for entry onto the PhD Materials
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The London Social Media Observatory welcomes PhD applications on topics related to social media (SM) and politics. Applications focusing on the curation/moderation of political content on SM
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for path inference; introducing sensors; behaviour classification; resource-constrained active-learning; other IoT applications; microbattery development and field experiments and flight path analysis
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interdisciplinary research skills in statistical analysis, data visualisation, advanced programming, writing and oral presentation, and receive training to enhance transferable skills and employability. Person
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change accelerate, we urgently need smart, evidence-based tools to plan, manage, and protect our marine ecosystems. At the forefront of this innovation is machine learning. Its ability to process complex
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on the topic (2,4). Training and Development Training will maximise future employability in academia and industry: Programming and geospatial data analysis using Python/R. Machine/deep learning techniques
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as a fact of good care provision but as a marketable resource and yardstick for service delivery. Applications are invited for a 3-year full-time ESRC NWSSDTP CASE PhD studentship for a qualitative
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platforms, enable light manipulation for next-generation ultrafast applications in spectroscopy, sensing, and telecomms. Ultrafast lasers drive innovations from quantum technology to medical imaging, yet
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, phosphorus and carbon cycles in ecosystems. Research methodology This studentship is ideally positioned between the Earlham Institute (EI) – which focuses on the application of the latest genomics – and the
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, data analysis, and scientific writing and communication. Experience in working in an optics lab and programming in Python will be beneficial but is not necessary. Applicants should have, or expect