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are essential. About you PhD in Bioinformatics, Computational Biology, Data Science, Computer Science or a related field. Strong programming skills, with proficiency in Python, R, or other relevant languages
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in paediatric cancer, immunology, and single-cell bioinformatics, while building your independent research profile. Based at the Centre for Children’s Health Research, the successful candidate will
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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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including hybrid on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion of a PhD in Plant Genetics
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and functional T cell assays. The PhD candidate: The preferred PhD candidate will have completed an Honours or Masters degree in immunology, microbiology, bioinformatics, biostatistics or a related
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, ELISPOT, immunohistology, proliferation and functional T cell assays. The PhD candidate: The preferred PhD candidate will have done an Honours or Masters in either immunology, psychology, bioinformatics
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software packages while collaborating effectively in a multidisciplinary research environment. You may also: Hold a Masters or PhD in Computer Science, Bioinformatics, Computational Statistics, or a
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processes and species resilience in the face of environmental change. What you can bring to the role Completion of a PhD in genomics, bioinformatics, evolutionary biology or equivalent discipline. Capability
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(including patent-relevant work) What will you bring? A PhD in bioinformatics, computational biology or a parallel field such as immunology with demonstrated experience in bioinformatics An understanding
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flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion or near completion of a PhD in plant biology, plant pathology, microbiology