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submitted but not yet received their PhD and those who are in the process of submitting their PhD thesis (in which case appointment will initially be made at research assistant, Grade 5, and amended
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with ultrastructural analysis. Manage, process, and analyze large imaging datasets generated from the project. Assist in mentoring and training PhD and undergraduate students in relevant techniques and
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technologies such as single-cell transcriptomics, cerebral organoids, and advanced imaging to build our understanding of the biological processes behind the earliest stages of neurodegeneration and ageing
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Modern cyber-physical systems (CPS), such as UAVs, next-generation fighter aircraft, and command-and-control (C2) platforms, integrate digital computation with physical processes to make mission
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experiments and computational/bioinformatics analyses. Generate, process, and analyse multimodal datasets including immunohistochemistry, multiplex imaging, and spatial transcriptomics, integrating findings
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research and education towards the integration of advanced medical image computing for supporting computer-aided disease diagnostics and intervention planning. Responsibilities and qualifications In
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within the Clusters of Excellence ‘Machine Learning for Science’ and ‘Image-Guided and Functionally Instructed Tumor Therapies (iFIT)’. Requirements PhD in Bioinformatics, Computational Biology, or a
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of the opioid oxycodone on maternal physiology, placental function and fetal brain development in pregnant rats. Work with an experienced research technologist and graduate student to harvest and process tissue
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requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in
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: Essential criteria PhD qualified in relevant subject area (Immunology, Biophysics, Biochemistry, etc) * Expertise in biomechanics, both the theory and methods Expertise in T cell biology, immunology, cancer