249 parallel-computing-numerical-methods positions at University of Sydney in Australia
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university program Base Salary starting from $ 103,185 + 17% superannuation About the opportunity The University of Sydney and CDS aim to create a proven best model of practice for an Employment Transition
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Liang Voice Program at University of Sydney. A/Prof Novakovic holds an FRACS in Otolaryngology, Head and Neck Surgery and has International subspecialty training in Laryngology. The Sydney International
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Distress collaboration with the Centre for Anthropology and Mental Health Research at SOAS, University of London. This collaboration uses anthropological, historical and participatory policymaking methods
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team, taking initiative and exercising sound judgement in resolving matters that may arise as part of normal daily work advanced computer skills, including Microsoft Office suite, with extensive diary
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University-wide due diligence through project planning, risk assessments, program implementation, monitoring, evaluation, and reporting resolve complex modern slavery matters by offering evidence-based advice
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ability to talk and update notes in enquiry management system simultaneously strong computer skills and literacy, including Microsoft Office touch typing highly regarded current students, returning parents
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high level communication skills with the ability to influence others to action. excellent administrative and data entry skills, with strong attention to detail. advanced computer skills, including
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collected data from sampling larval, juvenile and adult fish using a variety of methods (seining, BRUVs) and acoustic tracking to measure fish movement and connectivity. Expected outcomes of this project
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activities as required You will have a PhD in an infectious diseases/sexual and reproductive health/public health/ related field would be desirable sound experience in qualitative research methods including
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, under the direction of senior researchers Assist in the development of digital tools and supports, including using programs and coding methods (e.g., R, SPSS, REDCAP) to enable automation of processes