28 phd-rehabilitation-engineering-computer-science Fellowship research jobs at Monash University
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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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#1 Chemical Engineering Department at Monash University and be part of a pioneering research initiative at the intersection of materials science, automation, and artificial intelligence. As a
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) using a beam blanker to solve important problems in materials science. The position will develop and apply methods using an aberration-corrected FEG-TEM with beam blanker and pixelated, single electron
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problems in condensed matter physics and materials science. The successful candidate will exploit aberration-corrected FEG-TEMs with tailored electron-optics and pixelated, single electron detector systems
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. We are currently seeking a Research Fellow with experience in AI and machine learning research and development, with a focus on any or all of following application areas: Computer vision Generative AI
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biology models Testing and evaluating new therapeutics in support of a drug discovery program Delivering high-quality, timely data to the MTDD–Servier joint project team Supporting project milestone
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₂ uptake efficiency, and the engineering performance of novel concrete systems. You will: Investigate zeolite synthesis and CO₂ adsorption via lab-on-chip platform Evaluate the mechanical and durability
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atmosphere models Strong background in mathematics, physics, engineering or related field Experience in scientific computing, including C/C++, fortran, python, or MATLAB Version control and package management
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the guidance of artificial intelligence techniques. The project will develop novel design processes that embed material behaviour within agent-based and machine learning computational design systems
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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