75 phd-in-architecture-interior-design-built-environment Postdoctoral positions in Australia
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to mechanistic validation, designing and executing experimental strategies, including CRISPR perturbations, single-cell functional assays, and high-throughput molecular readouts, to define causal genes, pathways
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. Access an analytical ecosystem; cloud compute, engineering support, wet-lab validation pipelines, and established multi-omics workflows, allowing postdocs to focus on conceptual and scientific innovation
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, or synthetic gene circuit engineering. Experience with genome/transcriptome/epigenome engineering construct design (e.g., CRISPRa/i systems, base/prime-editing architectures). Hands-on experience with transient
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infrastructure assets exposed to corrosive environments, while accelerating the adoption of sustainable and low-carbon materials in the built environment. A major focus of the role is supporting the implementation
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for the PSBA network. About you PhD in plant molecular biology, synthetic biology, genome engineering, biotechnology, or a closely related field. Demonstrated expertise in molecular cloning, construct design
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The Sydney School of Architecture, Design and Planning is seeking a Postdoctoral Research Associate to join its dynamic team. This appointment is funded by The Sydney School of Architecture, Design and
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term basis until June 2028. Base salary range: Level A, $83,499 – $112,371 p.a. plus 17% superannuation. About the area The Plant Synbio Innovation Centre (PSIC) is based within the School of Molecular
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through grants and PhD scholarships, facilitating innovation and rapid commercialisation, and increasing artificial intelligence (AI) literacy and engagement in Australia. We offer a uniquely rewarding
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under AIML, the Centre is supporting Advanced Reasoning research through grants and PhD scholarships, facilitating innovation and rapid commercialisation, and increasing artificial intelligence (AI
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in cyber-physical systems and AI-driven sensing and control for large-scale systems, the successful candidate will contribute to the development of adaptive decision-making architectures for large