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organisations and co-develop an aligned and shared vision in the form of adaptive pathways for each infrastructure organisation. These cross-sectoral pathways take into account what happens now and in relation
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future autonomous instrument control and self-directed experimentation will be developed, recognizing the challenge presented by the integration of multiple complex systems. Coding and user interface
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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on using traditional in vitro techniques and third generation sequencing long-read approaches to characterise the genetic structure of demethylase inhibitor (DMI) resistance in the grape powdery mildew
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fees aligned to the UK rate per year. The scholarship will be offset against your tuition fee liability. All International applications will be considered for a SUIPRES Scholarship. You will be informed
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Project descriptionAutonomous systems are intelligent agents—such as robots, vehicles, or drones—that can sense their environment, make decisions, and act independently. When multiple such agents
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” and “Smart Mobility” (Google Scholar), he has received multiple prestigious international awards, including the IEEE CASE Best Conference Paper Award, INFORMS QSR Best Student Paper Award, and INFORMS
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a culture of creativity, welcoming fresh perspectives and innovation at all levels. We value teamwork. You’ll collaborate across multiple fields and with the brightest minds to find creative solutions
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for delta adaptation and development under uncertain changing conditions? How can we sequence measures that are made in different regions, e.g. using modelling tools? What is the timing of decisions and what
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Scholarship covers the difference between the International and the Home tuition fee for the duration of the PhD/Professional Doctorate programme. Successful candidates will be charged fees aligned to the UK