38 phd-position-wireless-sensor-networks Fellowship positions at Monash University in Australia
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neurology, you’ll play a key role in the experimental development, characterisation, and integration of sensor technology designed to improve diagnostic tools in clinical practice. This position offers a
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: Developing and deploying machine learning models (e.g. graph neural networks, neural force fields, diffusion models) for molecular property prediction and molecular generation. Integrating quantum chemistry
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. This is a unique opportunity to contribute to the global transition to net zero energy by developing and applying cutting-edge tools for autonomous materials discovery. You’ll work within the Australian
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modelling to deepen understanding of the mechanisms that drive new therapeutic approaches. The position plays a central role in delivering high quality research outcomes through the design and conduct
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, fabricate structures at the Melbourne Centre for Nanofabrication, and measure their optical and electrical properties. The successful candidate will have a PhD in Physics, Materials Engineering, or a closely
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and contribute to the preparation of manuscripts stemming from your work. If you have a PhD in organic chemistry, ideally with a background in protein chemistry or chemical biology you might be
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projects within the Korean Studies discipline. This position supports the strategic goals of the Monash University Korean Studies Research Hub by actively engaging in scholarly inquiry and enhancing
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Proficiency in analytics, AI, and modern data science tools Excellent problem-solving, project coordination and communication skills A PhD or equivalent research experience (preferred) Experience with clinical
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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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attract international scholars, PhD students, and Research Fellows, contributing to innovative research that shapes the field. Ranked among the top 10 institutions in Econometrics, Time Series, and