This project is part of the A*STAR Research Attachment Programme, through which students spend the middle 2 years conducting research at one of the A*STAR Research Institutes in Singapore, under the supervision of an A*STAR supervisor.
Attard Lab is seeking a highly motivated and talented applicant with a background in computational sciences, e.g. bioinformatics, biomathematics, biostatistics, computer sciences with biosciences interests, or similar.
Artificial intelligence (AI) and machine learning (ML) are rapidly changing the landscape of radiology. AI and ML have the potential to aid tumour detection across the body, provide segmentation of disease and normal anatomy for treatment planning, as well as the automatic tracking of tumours during treatment.
Adenoid cystic carcinoma (ACC) of the salivary glands is characterised by slow growth, extensive perineurial invasion, frequent metastasis and low survival rates representing an area of high unmet medical need.
Driver gene identification is central to understanding carcinogenesis and patient management. In colorectal cancer (CRC) however the full complement of molecular lesions sufficient to cause CRC, and explain its diversity is unknown.
Applications are invited for a fully funded PhD Studentship supported by the Oracle Cancer Trust. The student working on this project will investigate the role of signaling pathways downstream of MYB oncoproteins in adenoid cystic carcinoma.