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Qualification type: PhD Location: University of Hull Funding for: UK students Funding amount: £20,780 Hours: Full time Closes: 9 May 2025 Subject areas Engineering & Technology Computer Sciences Mathematics
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on AI-enhanced automation of transmission electron microscopy imaging and spectra acquisition, developing AI protocols based on ML, DL and computer vision within the project EDISON. Main Tasks and
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Engineering (DTU Sustain), we are seeking a highly motivated PhD student to advance our understanding of using smart materials for sustainable built environment control. In this interdisciplinary project funded
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on modeling aerosol-cloud-radiation interactions using high-resolution simulations (ICON-LEM) within the BeyondCloudlab project. Our research group studies the role of clouds and aerosols in the climate system
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their neural implementation. Profile of the Expected Candidate We are seeking a highly motivated and qualified candidate with the following profile: Master’s degree in Computer Science, Engineering, Physics
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. To meet the general entry requirements for doctoral studies, you must: Hold a Master’s degree in computer science, image analysis and machine learning, engineering, data sciences, applied mathematics
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Responsibilities: Program research ultrasound machines for high volume rate ultrasound imaging. Develop machine learning models for automated analysis of high volume rate ultrasound imaging. Design and execute
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with 65% average), or international equivalent, in Engineering, Computer Science, Physics or Mathematics with evidence of programming experience. Applications should be made through the RAINZ CDT website
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, Electronic Engineering, Computer Science, Natural Sciences, although we are open to any enthusiastic applicant with a science-related background.
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of Philosophy - Civil Engineering, (possibly) Doctor of Philosophy - Computing https://study.curtin.edu.au/offering/course-research-doctor-of-philosophy---civil-engineering--dr-cvengrv1/ https