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settings · Collect and synthesize environmental data, contextual observations, and metadata · Perform statistical and qualitative analysis to identify VOC exposure patterns and chemical signatures · Generate
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Research Fellow with expertise in computer science, biostatistics, statistics, bioinformatics, computational biology, or other AI-related disciplines. The successful candidate will join a dynamic
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skills: Experience in statistical programming in languages such as R (ideal) or Python. An understanding of linear models and probability. A background in biology, with a preference for cellular biology
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tools for mass spectrometry data analysis. Contribute to the development and maintenance of the FragPipe computational platform. Conduct data mining, visualization, and statistical analysis. Participate
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and cell differentiation. We develop technologies to generate statistical data sets that make these problems tractable, as well as computational tools and laws governing biological system behavior. We
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active programmes: Bayesian genomic-epidemiological modelling, AI for epidemic forecasting, and arbovirus genomic surveillance. • Design novel statistical and computational methodologies and publish them
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statistics, Bayesian statistics, burden mapping, measuring the impact of the environment on disease among others. The PI has projects in both infectious and chronic disease, measuring the impact of
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stimulation techniques Experience with conducting behavioral experiments in neuropsychology or cognitive psychology Good statistical knowledge and skills, and familiarity with statistical packages Good
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Role type: Full Time (1.0 FTE); Fixed Term for 3 years Faculty: Faculty of Science Department/ School: School of Mathematics and Statistics Salary: Level A: AUD $87,266 - $118,416 p.a. plus 17
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across commercial, residential, transportation, and occupational settings · Collect and synthesize environmental data, contextual observations, and metadata · Perform statistical and qualitative analysis