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organisations to participate in an engage with all aspects of the research process, ensuring equity and parity of esteem Working collaboratively with researchers and partners across C4, including in the other
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subject to a satisfactory outcome of this process. For the purposes of sponsorship, this role may be eligible depending on candidate circumstances and is a postdoctoral role under SOC code 2119
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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perturbation technology, AI/ML model development, or advanced molecular biology Experience in single-cell omics, spatial transcriptomics, and/or high-content imaging data analysis Demonstrated record
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-picture challenges in science and technology innovation, and has aptitude for new scientific fields. Successful candidates also demonstrate excellent communication, teamwork, and scientific/technical
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techniques, image analysis, genetic manipulations, biophysical approaches, and collaborate with theoreticians to address these questions. The specific details and aims of the project will be driven by
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Stig Brøndbo 10th June 2025 Languages English English English Faculty of Science and Technology PhD Fellow in sea ice remote sensing research Apply for this job See advertisement The position A
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, process or discipline. May require experience with specialized software programs such as Matlab, image J, Imaris, etc. Additional Qualifications Considered The work environment is the laboratory. Physical
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the Portfolio Manager and Clinical Director & Academic Lead. Areas of current projects for example are: Artificial intelligence for imaging interpretation Medical technologies for stroke characterization Case
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within multi-disciplinary clinical and research groups such as imaging, pathology, engineering and molecular biology. The post will also involve liaising with Imperial’s Joint Research Office, industry