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This PhD Scholarship is funded by 2022 ARC Discovery Project “Modelling temporal evolution in spatial ecology with dynamical point processes". The world is undergoing rapid environmental change
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the different external stimuli will be monitored and evaluated in real-time using inverted microscopes. The project will be conducted in collaboration with biomedical and microfluidic experts at RMIT’s School
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process. Ideal Candidate: Background in biomedical engineering, mechanical engineering, or a related field. Experience in finite element modelling, biomechanics, or orthopaedic research is desirable. Strong
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The scholarship provides stipend of $34,841 per annum pro rata (full-time) for three years, and successful applicant will also be awarded a Tuition Fee Scholarship if required. The scholarship provides stipend of $34,841 per annum pro rata (full-time) for three years, and successful applicant...
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to the designated supervisor for consideration. The awarding of the PhD scholarship is contingent upon successfully passing the interview process. Background in cell biology and biomedical science is highly desired
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Research scholarship funded by RMIT School of Computing Technologies. The scholarship is for 3 years; there would be a fee waiver and the standard stipend. Research scholarship funded by RMIT School of Computing Technologies. The scholarship is for 3 years; there would be a fee waiver and the...
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. 31/10/2028 31/10/2028 1 (one) 1 (one) Qualification in biomedical and biomechanical and mechanical engineering. Qualification in biomedical and biomechanical and mechanical engineering. Please submit
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, machine learning, and image processing techniques Strong candidates with electrical, mechanical, and biomedical engineering backgrounds can also apply. To be eligible for this scholarship, you must: Meet
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biomedical applications. This project will involve studying the structural properties of lipid nanoparticles, modifying particle stiffness by changing their composition and self-assembly process. The
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interactions. Machine learning: reinforcement learning, or multi-agent systems. Signal processing: spectrum sensing, localization, or radio environment modelling. Multi-agent systems: distributed intelligence