42 postdoc-computational-biomedical-engineering Fellowship positions at The University of Queensland
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School of Mechanical and Mining Engineering – Faculty of EAIT Full-time (100%), fixed-term position for up to 21 months Base salary will be in the range $114,824.05 - $136,048.72 + 17
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St Lucia location About This Opportunity We are looking for an exceptional Postdoctoral Research Fellow to join the Scanning Probe Microscopy and Materials for Quantum Technology (SPMQT) Lab
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Develop a coherent research program and an emerging research profile in mathematical ecology or mathematical epidemiology. Participate in applications for competitive research funding to support projects
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: Research: Academic Level A Work on a translational research program in the area bacterial cell wall structure and analysis Collaborate with colleagues and an external industry partner through working towards
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using computational approaches, present results at conferences and scientific meetings, prepare manuscripts for publication, and collaborate with colleagues on joint research projects, develop a research
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, securing, and managing funding for projects and activities Support the translation of knowledge, technology, and practices to end users, including commercialisation of UQ intellectual property Conduct
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completion of a PhD in geomechanics, energy engineering, geophysics, and/or geodynamics. An established record of scientific achievements in geomechanics and geomechanical numerical modelling, including
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multidisciplinary team, including neurologists, GPs, neuropsychologists, clinicians, implementation scientists, and human design engineers—you will help ensure these guidelines achieve maximum impact in clinical
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research outputs in high quality outlets, participate in research funding applications, collaborate on joint research projects, contribute to transfer of knowledge, develop a research program, and utilise
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in the discipline area (geometallurgy) or a related field (geology/geoscience, mining/metallurgical engineering) Expertise in geological characterisation techniques (core logging and/or mapping