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campus. This Level A research-only position will contribute to the research program of the Signalling Network Laboratory, undertaking projects focused on specific members of the protein kinase superfamily
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in vivo studies to evaluate drug and biologics delivery across the BBB Performing quantitative analysis of small molecules and biologics Working with in vitro cell culture systems and relevant disease
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multi-organ-on-a-chip platform. Leveraging advanced microfluidics, live-cell imaging, and integrated biosensing technologies, you will help generate multi-parametric insights into barrier integrity
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intellectually curious, driven, and ready to take ownership of impactful research. We’re looking for someone who brings: A PhD in cardiovascular biology, stem cell biology, genetics, or a closely related
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leading research in the development of cryo-EM methods to solve problems in an important class of challenging materials. This Level A Research Fellow position will contribute to the ARC Discovery Project
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of anti-malarial agents has been a significant research area within the Faculty. Reporting to Professor Peter Scammells, the focus of the study will be the development of small molecule enzyme inhibitors
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Science and Artificial Intelligence, with a focus on visual reasoning and robotic systems. The Research Fellow position involves developing novel approaches that integrate computer vision, natural
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to pursue high-quality independent research while contributing to the development and leadership of a fast-moving laboratory. You will work on projects exploring how meningeal stromal and immune cells sense
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will have: A PhD (or equivalent experience) in medicinal or synthetic chemistry Strong hands‑on laboratory experience in synthetic organic or medicinal chemistry Excellent analytical, organisational, and
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postgraduate qualification in Data Science / Computer Science (PhD preferred) Strong expertise in Python and/or R, SQL, data engineering and machine learning Experience with EMR systems (Cerner highly desirable