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learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing and implementing NLP pipelines for clinical text processing, semantic annotation
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PhD Studentship: Building Brain Circuits: decoding RNA processing in the developing mammalian cortex
question is how post-transcriptional mechanisms – including RNA processing – shape when and where proteins are produced to guide synapse formation and refinement. These processes are increasingly implicated
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Council of Norway to study the role of striatal interneurons in action selection. The basal ganglia play a critical role in decision making. Our aim is to investigate this decision-making process, using a
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by PI Dr. Jessica Hsu (starting January 2026), is seeking highly motivated and creative postdoctoral fellows to join a research program that integrates molecular imaging and nanomedicine, leveraging
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collaboration with theory will be central to guiding and rationalizing the experiments, while synchrotron-based techniques will provide detailed insights into the atomic-level processes. By linking mechanistic
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Austofix is a South Australian Medical Device Company specialising in orthopaedic implants suitable for trauma surgery. With a focus in research, design, manufacturing and distribution it has a number of
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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than 1,800 employees and nearly 21,600 students. The research subject Process Metallurgy at the Department of Civil, Environmental and Natural Resources Engineering is looking for two doctoral students within
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Biomedical engineering Physics or Applied mathematics You present with expertise in advanced signal and data processing and its applications to cutting-edge imaging. Developing programming skills (Python, C
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translate into concrete health outcomes. The BRANCH project wants to change that. By combining conceptual work on green space typologies, advanced geospatial analytics, AI-based image analysis, citizen