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Field
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. The position reports to Associate Professor Elizabeth Williams at UNSW School of Science and has no direct reports. Who You Are (skills and experience): A PhD in nuclear science, human-computer interaction
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biology, pathogen genomics, and computational approaches. This integration drives comprehensive studies of host–pathogen interactions across molecular, individual, and population scales to address emerging
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explores how the nervous and immune systems interact in cancer and how these insights could unlock approaches to treatment. Using advanced mouse models and tissue culture systems, the team investigates how
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candidate will design and evaluate novel coating materials, perform laboratory, and field testing, investigate coating–substrate interactions, and assess long-term durability under various environmental
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to damage, with a primary focus on the endolysosomal system and mitochondria? What are the protein interaction networks that make up dynamic organelles? How do familial mutations in key organellar systems
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and shape the human aspects of interaction with and through the use of AI. The goal is to ensure the sustainable, inclusive and responsible integration of AI in both the public and private sectors
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of the Laboratory in interactions with colleagues and with the DOE and other sponsors of R&D at ORNL. Align behaviors, priorities, and interactions with ORNL’s core values of Impact, Integrity, Teamwork, Safety, and
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research team investigating the molecular mechanisms of innate immunity, cell death signalling, and host-pathogen interactions. For more information about the lab, please visit: https://www.lsi.nus.edu.sg
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. This immediate, interactive visual feedback will enable creative teams to build, arrange, and refine set pieces and actor positions in real-time, reducing errors and guesswork in combining physical props with
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Experience: • Substantial research experience in cancer immunology, tumour–immune interactions, or related translational research areas • Hands-on experience with mouse tumour models and immune profiling is