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Research Fellow - Advanced Signal Processing and Machine Learning Techniques for Vital Signs Measurement from Video Images Job No.: 691722 Location: Clayton campus Employment Type: Full-time
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, Isaac Gym, Habitat, AirSim) and experience in combining symbolic reasoning with deep learning approaches will be well regarded. This is an exciting opportunity for a motivated researcher to build
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econometrics and machine learning, is highly desirable. You are well-organised and capable of managing multiple tasks to meet deadlines, with excellent written and verbal communication skills for producing clear
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opportunities. Learn more about Monash . Today, we have the momentum to create the future we need for generations to come. Accelerate your change here. Monash supports flexible and hybrid working arrangements
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, and international collaboration opportunities. Learn more about Monash . Today, we have the momentum to create the future we need for generations to come. Accelerate your change here. Monash supports
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opportunities. Learn more about Monash . Today, we have the momentum to create the future we need for generations to come. Accelerate your change here. Monash supports flexible and hybrid working arrangements
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, and international collaboration opportunities. Learn more about Monash . Today, we have the momentum to create the future we need for generations to come. Accelerate your change here. Monash supports
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postgraduate qualification in Data Science / Computer Science (PhD preferred) Strong expertise in Python and/or R, SQL, data engineering and machine learning Experience with EMR systems (Cerner highly desirable
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to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities. Learn more about Monash . Today, we have the momentum to create the future we need
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, and international collaboration opportunities. Learn more about Monash . Today, we have the momentum to create the future we need for generations to come. Accelerate your change here. Monash supports