47 digital-signal-processing Fellowship research jobs at Monash University in Australia
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Research Fellow - Digital Structural Integrity Job No.: 683844 Location: Clayton campus Employment Type: Full-time Duration: 12 months fixed-term appointment Remuneration: $83,280 - $113,025 pa
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& Molecular Biology, the largest within the School of Biomedical Sciences at Monash University, is a national leader in its field. With a research and teaching focus spanning cell biology, signal transduction
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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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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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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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, 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
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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 in digital sociology, ethnographic methods, and human-AI relationships. Your responsibilities will include: Conduct research, analysis, and publication targeting diverse audiences, including
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building a digital platform that consolidates and presents this information. Centred on data extraction and expert review, the position involves assessing the accuracy and appropriateness of scientific
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in sequential decision-making approaches such as Markov Decision Processes, reinforcement learning, deep learning, or adaptive management. You have a strong track record of research publications and