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Field
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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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, 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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speculative on either point will not be supported. Expressions of interest The significant support of the host institution is a critical component of these fellowships. As such, King’s has an internal process
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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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in advanced signal processing techniques and good understanding of emerging machine learning methodologies used in NDE. You will work in close collaboration with project partners at the University
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insurance can be obtained through ORISE. Questions: Please visit our Program Website . After reading, if you have additional questions about the application process, please email ORISE.ARS.Midwest@orau.org
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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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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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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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understanding how human-adapted viruses inhibit host innate anti-viral signaling systems using the poxvirus Molluscum Contagiosum Virus (MCV) as a model. It causes a common, long-duration infection with minimal