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commitment to teamwork and multidisciplinary collaboration. Qualifications Mandatory: A PhD degree in Computer Science related field is required. Note: Appointment to this position is subject to passing a
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in GETCO2. To be successful in this position, you will have: Evidence of experience in both computational approaches (machine learning and density functional theory) to inorganic materials discovery
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conferences and publishing in peer-reviewed journals. Prior experience in nerve regeneration or tissue engineering research is highly desirable. Preferrable: PhD in Materials Science, Biomedical Engineering
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with a strong commitment to teamwork and multidisciplinary collaboration. Preferred: PhD or equivalent in relevant field. Please Note: Appointment to this position is subject to passing a Working with
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communications skills appropriate for interacting with higher degree by research candidates, staff and industry. Qualifications: PhD in physics, chemistry, materials science or related field. Please Note
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analysis to create new knowledge on local neighbourhood cycling infrastructure and environmental living conditions. We are seeking recent PhDs or soon to graduate PhDs with exceptional promise or Masters
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research activities on an ARC Discovery Project. You will work with an increasing degree of autonomy as skills and experience develop. To be successful in this position, you will have: PhD degree in
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neuromorphic devices via neuromorphic-based machine learning and simulation. Proven ability to undertake scientific research and development in research programs. Demonstrate ability to clearly communicate
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must make sense of the communities, cultures and societies in which they live. This requires that we learn from the past to ensure a future in which everyone can thrive. For more information about the
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must make sense of the communities, cultures and societies in which they live. This requires that we learn from the past to ensure a future in which everyone can thrive. For more information about the