47 postdoctoral-biomedical-signal-processing Fellowship research jobs at Monash University
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Postdoctoral Research Fellow Job No.: 675222 Location: Clayton campus Employment Type: Full-time Duration: 12-month fixed-term appointment - with the opportunity to be renewed Remuneration: $83,280
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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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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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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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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
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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 partners Proficiency in DAMASK, AMITEX, Abaqus & MOOSE Experience with MTEX & DREAM3D (advantageous) Application of machine learning (e.g. Gaussian Process) for surrogate modelling & uncertainty
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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