21 parallel-computing-numerical-methods-"Prof" research jobs at UNIVERSITY OF MELBOURNE
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related field, possessing a developing research profile and the ability to implement novel statistical methods using various computing programs. You may also: Have completed a PhD in statistics, applied
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and Computational Quantum Chemistry Group at the University of Melbourne as a Research Fellow. You'll play a pivotal role in an industry-funded project aimed at establishing a workflow for high
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CRISPR and other molecular genetic technologies to study infection dynamics. Analyse Complex Data: Apply computational and biostatistical methods to analyse large data. Collaborate Across Disciplines: Work
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expertise in forest composition, structure, and fauna surveying methods. Have strong statistical data analysis skills and a sound publication record. Show excellent interpersonal and communication skills in
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resource management. Have experience in qualitative and/or quantitative research methods relevant to social license and stakeholder engagement. Possess excellent written and verbal communication skills
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access to a range of discounted services including Bupa health insurance Health and well-being services including a leading Employee Assistance Program Comprehensive career development and training, plus a
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PhD. Possess experience with qualitative research methods and literature reviews. Demonstrate excellent verbal and written communication skills. Have strong organisational and time management skills
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Employee Assistance Program For more information check out our benefits page! Your new team - "The School of Agriculture, Food and Ecosystem Sciences" The School of Agriculture, Food and Ecosystem Sciences
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well-being services including a leading Employee Assistance Program For more information check out our benefits page! Your new team - Department of Medicine The Department of Medicine is a large and
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a leading Employee Assistance Program For more information check out our benefits page! Your new team - "The School of Agriculture, Food and Ecosystem Sciences" The School of Agriculture, Food and