12 software-formal-method-phd Fellowship research jobs at Monash University in Australia
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leading research in the development of cryo-EM methods to solve problems in an important class of challenging materials. This Level A Research Fellow position will contribute to the ARC Discovery Project
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qualitative research and familiarity with analytical software (e.g., SPSS, Qualtrics,NVivo, RevMan) Experience working with participants with neurological conditions will be highly regarded. About Monash
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spectroscopic methods for studying plant photosynthesis. If you would like to shape the future of plant stress biology with cutting‑edge research, then apply today! About Monash University At Monash , work feels
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econometric skills and proficiency in statistical programming using software such as Stata, R, or Python. Experience with administrative data and knowledge of advanced techniques, including structural
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, Excel and PowerPoint, and familiarity with analytical software such as NVivo and/or Multicriteria Mapping. About Monash University At Monash , work feels different. There’s a sense of belonging, from
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will have: A PhD (or equivalent experience) in medicinal or synthetic chemistry Strong hands‑on laboratory experience in synthetic organic or medicinal chemistry Excellent analytical, organisational, and
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or qualitative and mixed-methods research related to the project. We are seeking someone with a doctoral qualification in a relevant discipline or equivalent experience in multidisciplinary research
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) within the School of Public Health and Preventive Medicine (SPHPM) Monash University. As a major clinical research methods centre for Intensive Care across Australia and New Zealand, the centre delivers
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comparing model predictions of observed transient data Experience in software development with larger scientific codes; in particular, expertise in Fortran, C, Python, and/or build systems are of advantage As
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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