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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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-life environments. The Role: As Research Fellow on the COG-MHEAR project, you will have the opportunity to use your strong background in deep neural networks and multimodal hearing-aid signal processing
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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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hold more than one fixed term position as a Postdoctoral Research Fellow at the same institution. Unless special circumstances indicate otherwise, postdoctoral projects shall be planned with stays abroad
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, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
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on the ‘Apply’ link at the top of this page. Please indicate in your cover letter for which position you are applying for. For further information about this position, please see the Position Description
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Posting Details Position Information Job Title Postdoctoral Fellow in Aging Retinal Biology Department Surgery - 31570 Pay Grade 8 Job Category Administrative Job Summary The Department of Surgery
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in application-based computational biology, including single-cell sequencing techniques. Strong experience in deep learning and AI. Structural biology experience is a strong plus point. Pragmatic and
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
description The transition from a fossil-based to a circular production of consumer goods requires the development of new chemical processes, especially for the energy-efficient and sustainable conversion