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segmentation models. Cross-modality synthesis (CT to MR and vice versa) to infer structures not visible in a single mode Scholarship Description This is a full-time on-site role for a PhD Scholarship - CT and
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applications in various biological contexts. You will also have: A PhD in a relevant field of biology; Expertise in genomics, bioinformatics and phylogenetics; Evidence of experience in quality undergraduate and
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. Additionally, your strong organisational skills and effective teamwork enable efficient management of deadlines and demands. You will also have: A PhD in a relevant discipline such as implementation science
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collaboratively with internal and external stakeholders. You will also have: A PhD in AI, Machine Learning, Natural Language Processing, or closely related discipline; Excellent ability in analysing data, problem
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relationships with key stakeholders, coupled with excellent organisational and time management abilities, will enable you to succeed. You will also have: A PhD (or expected completion of one prior to commencement
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will also have: PhD in a relevant discipline or equivalent experience. Extensive experience as a practising bioinformatician, including significant experience with method and tool development, and data
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independently and collaboratively within a team, combined with excellent organisational and leadership skills, will ensure successful project outcomes You will also have: A PhD or equivalent experience or over 2