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domain modulation, channel coding and signal processing, including channel estimation and detection, and/or machine learning applications for wireless communications. Demonstrated track record
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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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the use of a range of computer applications, including Microsoft Office Programs and the ability to quickly learn new technologies. Desirable but not essential is experienced with ServiceNow, Salesforce
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electrical works, including a demonstrated ability to consult and liaise with staff from all levels of university and external parties. Effective computer and mobile literacy with experience utilising digital
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factors involved in the onset and progression of dementia. Advanced computational methods, including bioinformatics pipelines and machine learning, will be employed to uncover putative biomarkers and
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, computer access and databases) Access to employee flu shot program and employee assistance programs. HOW TO APPLY Click APPLY and include a short cover letter along with your resume outlining your experience
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of the organisation. Demonstrated high level of computer literacy and proficiency in the production of high-level work using software such as Microsoft Office applications and specified University software programs
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relocation efforts within set timeframes. operate library-related technologies to carry out work activities. learn new tasks rapidly and contribute ideas to solve basic challenges that come up in day-to-day
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
-solving skills, attention to detail and high-level computer literacy will be key to establishing and enhancing our operational procedures and systems, as well as identifying opportunities for efficiency and
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Macquarie University College provides local and international students with alternative pathway programs to undergraduate and postgraduate degrees through our accelerated face-to-face learning model