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factors involved in the onset and progression of dementia. Advanced computational methods, including bioinformatics pipelines and machine learning, will be employed to uncover putative biomarkers and
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also explore the role of AI to guide or suggest analytics. Patient Data Analysis, Procedure Planning & Organ Segmentation: we will explore immersive XR interaction techniques for patient data
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transition. The successful candidate should have a background in environmental biotechnology or a related discipline and be proficient in multi-omics techniques, bioinformatics, and bioreactor operation
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demonstrated ability to plan and schedule laboratory workflow. Excellent interpersonal, written and verbal communication skills. Effective time management skills and the ability to work on parallel tasks
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Define, establish, and maintain the digital analytics measurement strategy and governance process. • Chief Learner Experience Office – Berwick Campus • Full-time, fixed-term appointment until June
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processes. This project aims to enhance the extraction and separation of rare earth elements (REEs) by developing innovative peptide-polymer composite materials inspired by bio-mimicry using machine learning
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researcher could build hundreds or thousands of strains in parallel using our robotic platforms. The Australian Genome Foundry is capable of synthesizing complete eukaryotic chromosomes and consists
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parallel using our robotic platforms. The Australian Genome Foundry is capable of synthesizing complete eukaryotic chromosomes and consists of modular robotic platforms capable of automated construction and
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extracellular vesicles for predicting and monitoring response to immune checkpoint blockade in melanoma and lung cancer. Desired skills: It is expected that a suitable candidate has a background in bioinformatic
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. The candidate will be embedded within this program, working in parallel with a multidisciplinary team designing a ruggedised mobile CT scanner in collaboration with Micro-X Inc., while engaging closely with