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translational clinical research. The successful candidate will be responsible for the design, development, and characterisation of a diagnostic electrochemical biosensor, incorporating signal processing and
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neurocritical care research The Opportunity We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis
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Research Fellow, Implementation Science in Addition Treatment Job No.: 683764 Location: Turning Point, 110 Church Street, Richmond Employment Type: Full-time Duration: 12-month fixed-term
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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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or doctoral qualification in neuroscience or a closely related field, and a strong background in signal processing, programming and electrophysiological techniques. Demonstrated skills in data analysis and
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the University’s research capacity in a globally relevant field. The role provides the opportunity to develop and publish a monograph based on Korean Studies-related PhD research or, if already published
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer science
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preparation, and data analysis Assist in systematic reviews and grant development What you’ll bring: An honours degree or higher in a biomedical, allied health, or clinical research field Experience working in
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, please refer to 'How to apply for Monash Jobs '. Your application must address the Key Selection Criteria. Please indicate whether you are applying at Level A or B, depending on your experience and