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develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
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; an additional Disabled Student Allowance (DSA) to support reasonable adjustments where appropriate. Application Process: This is a 2-step process. You must first be accepted into the University of Liverpool
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of Science/Computer Science”. Please quote the advertised reference number ‘CENTA2026-LU07’ in your online application. During the online application process, please upload the CENTA studentship application
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engineering, or atmospheric science* Expertise in and passion for computational modelling and software development/engineering Expertise in cloud physics or contrails preferred but not required Creative problem
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background in applied mathematics, computational mathematics, computer science, physics, or engineering is suitable. Basic programming experience (e.g., C, C++, Julia, MATLAB, Python, or similar) is necessary
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(minimum 2.1 honours or equivalent) in a STEM subject including Computer Science, Data Science, Engineering, Physics or Maths. A relevant MSc/MEng is desirable but strong candidates without postgraduate
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programme, our advertised projects or the application process, please email FBL-PHD@open.ac.uk . We look forward to receiving your application.
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Applications are invited from PhD studentship candidates with good first degrees in computer science, physics, maths, biology, neuroscience, engineering or other relevant disciplines to join
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(computer vision technologies). The interdisciplinary nature of this PhD will require the integration of environmental science, engineering, and community science methodologies. Supervisors: Primary
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of Birmingham and afield. You can apply here: https://sits.bham.ac.uk/lpages/EPS019.htm (engineering programme) or https://sits.bham.ac.uk/lpages/EPS005.htm (physics programme) clearly stating the title