23 phd-in-architecture-and-built-environment Fellowship positions at Monash University in Australia
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evaluate methods via experiments, benchmarking, simulation and/or real‑world data. The successful candidate will have: A PhD in Statistics, Data Science, Computer Science, Mathematics, or a related field
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related field This role offers an excellent opportunity to contribute to impactful translational research within a collaborative and high-performing scientific environment. If you are passionate about drug
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, fabricate structures at the Melbourne Centre for Nanofabrication, and measure their optical and electrical properties. The successful candidate will have a PhD in Physics, Materials Engineering, or a closely
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and contribute to the preparation of manuscripts stemming from your work. If you have a PhD in organic chemistry, ideally with a background in protein chemistry or chemical biology you might be
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contribute to publications in leading journals. This is an excellent opportunity to advance your research career within a supportive, collaborative, and innovative environment, working alongside world-class
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. About You You are an emerging researcher with strong materials science expertise, particularly in phase transformations, who thrives in collaborative environments. You are ready to build your research
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the Addiction & Impulsivity Research Lab and the Computational & Systems Neuroscience Lab . You will be part of a collaborative environment that integrates expertise in psychology, neuroscience and computational
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opportunity to further develop a strong research profile in nursing, supported by an established and collaborative academic environment. We welcome applicants with a strong track record in research and a
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a strong research profile in nursing and midwifery, supported by an established and collaborative academic environment. We welcome applicants with a strong track record in research and a passion for
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. Your expertise includes machine learning techniques such as Bayesian optimisation, and you’re comfortable working with experimental data, high-performance computing environments, and (ideally) thin film