40 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" research jobs at Monash University
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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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Research Fellow - Cochrane Australia Job No.: 691811 Location: 553 St Kilda Road, Melbourne Employment Type: Full-time Duration: 12 month fixed-term appointment Remuneration: $118,974 - $141,283 pa
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Research Assistant - ANZMUSC Job No.: 689754 Location: 553 St Kilda Road, Melbourne Employment Type: Full-time Duration: 12 month fixed-term appointment Remuneration: $83,280 - $113,025 pa Level A
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Research Fellow - CONNECT Consumer Program - Australian and New Zealand Intensive Care Research Centre (ANZIC-RC) Job No.: 687556 Location: 553 St Kilda Road, Melbourne Employment Type: Part-time
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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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Research Assistant - Wiser Health Care Job No.: 689482 Location: 553 St Kilda Road, Melbourne Employment Type: Full-time Duration: 12 month fixed-term appointment Remuneration: $83,280 - $113,025 pa
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Research Fellow - Transport Modelling Job No.: 688348 Location: 533 St Kilda Road, Melbourne Employment Type: Full-time (negotiable) Duration: 12 month fixed-term appointment Remuneration:$118,974
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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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discover them The Opportunity The Department of Electrical and Computer Systems Engineering at Monash University is seeking a motivated Level A Research Fellow for a 2 year research-only appointment. A Level
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technologies will affect them. It is our anticipation that the work will commence with, in parallel, the survey for collecting the data and a comparison of machine learning methods on artificial pseudo-randomly