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% superannuation applies. Fixed term, full time position available for 24 months. Develop AI-driven digital tissue models for precision oncology, harnessing a multidisciplinary approach to tailor immunotherapy
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characteristics influencing immunotherapy success. We aim to employ a multiomic approach, analysing extensive patient data across all stages of disease progression. This research will utilise state-of-the-art
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compounds, cancer or immunotherapy research. The candidate should be familiar with air-sensitive chemistry and general analytical techniques such as FTIR, NMR, electrochemistry, etc. Desirable criteria
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characteristics influencing immunotherapy success. We aim to employ a multiomic approach, analysing extensive patient data across all stages of disease progression. This research will utilise state-of-the-art
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immune characteristics influencing immunotherapy success. We aim to employ a multiomic approach, analysing extensive patient data across all stages of disease progression. This research will utilise state
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critical for tumour progression. Genetic alterations in this pathway are also linked with resistance to many targeted therapies in breast cancer, including anti-estrogens, and immunotherapy. However, the
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expression of key molecules that may be important to ovarian cancer immunotherapy and have wider implications for the treatment of chronic disease. Hypothesis: Xanthatin and/or carnosine modulate anti-cancer
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criteria: Interest in and ability to work in an interdisciplinary setting, including with scientists and/or engineers. Experience in metallo-compound, cancer or immunotherapy research. Current treatments