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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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fast-readout electron detectors to validate the methods developed. The successful candidate will have a PhD in Physics, Materials Engineering, Computer Science or a closely related field. Research
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opportunities via the academic promotions process. About You Completed PhD in biotechnology or bioprocess engineering. At least 2 years of experience in biotechnology or bioprocess engineering, preferably focused
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verbal communication skills, including the ability to present complex ideas clearly to diverse audiences. Desirable Experience Experience with program evaluation, implementation science, and/or guideline
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Physics, Chemistry, Materials Science, or a closely related discipline. An emerging profile in research in computational condensed matter physics, materials science, or chemistry. Demonstrated expertise in
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such models and produce reports and scientific papers on this work. The successful candidate will have a PhD qualification in AI, computer science, atmospheric science, climate science. You will also
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and synthesis of new materials. You should have a PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical
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community engagement activities. About you A PhD in a relevant discipline such as physics, astronomy, or computer science. Work experience in Computer Science, Information Technology, or a related field
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Completion or near completion of a PhD in Physics, Chemistry, Materials Science, Nanoscience, or a closely related discipline. An emerging research profile in quantum materials or scanning probe microscopy
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to) the social sciences (e.g., psychology or sociology); urban studies; organisational studies; computational social science; or fire, civil or humanitarian engineering; or equivalent in relevant field. Preferred