35 computational-statistics-"INSAIT---The-Institute-for-Computer-Science" Fellowship positions at Monash University
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Research Fellow - Environmental Informatics Hub Job No.: 680160 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment (with the possibility of an additional 2
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-quality research publications in econometrics or related fields. You will possess the ability to solve complex statistical problems, show advanced computer literacy with proficiency in relevant software
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looking for someone who brings: A relevant qualification in health economics, public health (with strong economics focus), or data science Strong skills in health economic evaluation, statistical
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meaningful program of work that includes literature reviews, field research, data analysis and scientific writing. The role also involves preparing ethics applications and presenting research findings
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advanced statistical analyses to maintain the integrity and excellence of trial processes. About You Doctoral qualification in Clinical Psychology. Area of Practice Endorsement in Clinical Psychology with
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Ability to work independently and collaboratively within an interdisciplinary team Excellent organisational, communication, and interpersonal skills Advanced computer skills, including Microsoft Office and
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The successful candidate will possess: A doctoral qualification in a relevant discipline area or equivalent research experience Proven experience in quantitative statistical analysis and managing and working with
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proficiency in both qualitative and quantitative research methods. Experience in data management and statistical analysis software such as Excel, STATA or R, along with qualitative analysis tools such as NVivo
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demonstrate strong statistical analysis and manuscript preparation skills, a strong track record of refereed publications, and a demonstrated trajectory of leadership capability. You should be able to work
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Econometrics and Business Statistics at Monash University is globally recognised for its excellence in research and teaching. Our department is a leader in developing cutting-edge methodologies in econometrics