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Research Fellow in Medicinal Chemistry (Therapeutic Biomolecules) Job No.: 683595 Location: Parkville campus Employment Type: Full-time Duration: 12 months fixed-term appointment Remuneration
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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
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science, computational chemistry, computational biology, or a closely related discipline. Demonstrated experience in the design of machine learning architectures such as GNNs, VAEs, or diffusion models applied
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compounds that target bacterial cell wall biosynthesis. As a Postdoctoral Research Fellow, you’ll collaborate with leading experts in natural products chemistry, microbial genomics, and bioinformatics. Your
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have a PhD and, ideally, a postdoctoral experience in computational chemistry, biophysics or related discipline with the demonstrated ability to develop and pursue innovative computational research
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and computational chemistry and this Hub will promote connectivity of the broader community, training, networking, as well as state-of-the-art research. This post will develop artificial intelligence
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Australian National University | Canberra, Australian Capital Territory | Australia | about 12 hours ago
candidate will join Associate Professor Jean Wen’s research group, conducting independent, high-impact research at the intersection of AI/machine learning, computational biology, and RNA biology. The position
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Australian National University | Canberra, Australian Capital Territory | Australia | about 13 hours ago
, or computational. The Experimental Petrology group at RSES is a world-leader in high pressure experimental petrology and the application of cutting-edge microanalysis to experimental products. Our strategic research
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Alliance for Agriculture and Food Innovation (QAAFI). This is a unique opportunity for you to focus your efforts on developing your expertise and emerging research profile in advanced polymer chemistry in
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origami synthesis and characterisation. Previous experience with non-academic and industry projects is desirable. Demonstrated expertise in supramolecular chemistry, computational modelling, and/or