Postdoctoral Fellow in Medical Imaging

About the role

The University of Sydney School of Health Sciences - We are at the forefront of health science education and undertake high-impact research that anticipates the health issues of tomorrow while overcoming the challenges of today. Our educational degree offerings are preparing the allied health leaders of tomorrow in the areas of physiotherapy, occupational therapy, speech pathology, diagnostic radiography and exercise physiology. Our researchers are global leaders in disability and rehabilitation, heat and health, clinical imaging, sports science and physical activity, communication disorders and musculoskeletal health. Since our inception 160 years ago, the University of Sydney has led to improve the world around us. We believe in education for all and that effective leadership makes lives better. These same values are reflected in our approach to diversity and inclusion and underpin our long-term strategy for growth. We are Australia's first university and have an outstanding global reputation for academic and research excellence. We are seeking a Postdoctoral Research Associate /Research Fellow in applied or public health breast cancer research to help achieve the mission and vision of the BREAST Australia research team with the Sydney School of Health Sciences. Our research group is dedicated to advancing healthcare through cutting-edge research and innovation. Our mission is to improve the accuracy and efficiency of early breast cancer detection using state-of-the-art medical imaging technologies. We are seeking a highly motivated and skilled Scientist to join our dynamic team and contribute to groundbreaking research in this critical fie Your key responsibilities will be to: engage in research either independently or as part of a research team apply expertise in research methodologies, design and delivery to contribute to the University's standing as a national leader in the discipline bring and maintain a research profile which meets University expectations and standards, including publication of peer-reviewed journal articles, conference presentations and research outputs maintain an understanding of the University's strategic agenda and contribute to furthering that agenda provide training and support to students and research staff where appropriate engage in research evaluation and assessment of research practice undertake literature reviews, report writing and ethics applications prepare and contribute to grant applications and submissions supervise postgraduate and honours research students coordinate administrative tasks associated with research projects contribute to breast cancer research projects involving clinical imaging, population health, image perception and healthcare innovation analyse clinical, imaging and health-related datasets using appropriate quantitative methods contribute to the development, evaluation or application of artificial intelligence and machine learning approaches relevant to breast cancer research and medical imaging, where appropriate collaborate with multidisciplinary teams including radiologists, radiographers, clinicians, epidemiologists, health scientists and data scientists About you: Completed a Ph.D. in either applied breast cancer research, public health breast cancer research, in Clinical Medical Imaging, or a relevant discipline (health sciences, Medicine) demonstrated experience in health, medical, imaging or population-based research breast imaging experience would be preferred; however, applicants with other clinical medical imaging or health research backgrounds will also be considered demonstrated experience or knowledge in one or more of the following: working effectively with experts across multiple disciplines including radiologists, radiographers, clinicians, public health researchers and health professionals medical imaging modalities such as MRI, Digital Mammography, Digital Breast Tomosynthesis, PET, CT, X-ray equipment or related technologies artificial intelligence, machine learning, image analytics, computer vision or related computational approaches applied to healthcare research (desirable) a peer-reviewed publication track record that demonstrates research excellence relative to opportunity demonstrated scientific creativity, innovation and problem-solving ability outstanding interpersonal and communication skills in a collaborative team environment Note: Applicants are requested to submit one relevant publi

Benefits

Additional Information

Full-time, 2 years fixed term Research opportunity in the field of breast cancer detection, clinical medical imaging optimisation, perception, and artificial intelligence applications in healthcare Contribute to high impact scientific and clinical projects in a rapidly growing research field and further your research career in a supportive, collaborative environment Located at the Susan Wakil Health Building (D18) - School of Health Sciences Base Salary (Level A) $ 113,400 -$121,054 + 17% Superannuation

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