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Join a leading cancer research institute in Adelaide, Australia. We are seeking outstanding scientists for two exciting opportunities: Structural Biologist – Dr Qi Zhang’s Lab (https://www.qizhang-lab.com/ ) • Focus: Structure/function of chromatin-associated complexes using cryo-EM and...
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will involve a combination of simulation and statistical modelling. Your key responsibilities will be: Lead analysis of State response data to estimate detection, occupancy, and spread of PSHB Engage
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
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required: PhD in Bioinformatics, Data Science, Immunology, or a related field. Strong expertise in data analysis, bioinformatics pipelines, and statistical methods. Experience with single-cell multi-omics
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including word processing (MS word), spreadsheets (MS Excel), and statistical analysis packages An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant
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stakeholders. This will be one of a potential six postdoc hires in the research group for 2025. At ANSTO, you will have the opportunity to work closely with both the Nuclear Materials Research and Technology
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literature (relative to opportunity), especially on topics relevant to the project objectives demonstrated experience with simulation modelling and coding, especially biophysical modelling advanced statistical
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(or near completion), in civil and/or environmental engineering or a closely related area in data science, applied statistics, or geoscience Demonstrated ability to publish in the scientific literature
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through advanced statistical analysis in disaster scenarios. Community engagement in disaster affected areas. Ability to work autonomously whilst displaying a strong commitment to work in a team environment
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quantitative research through advanced statistical analysis in disaster scenarios. Community engagement in disaster affected areas. Ability to work autonomously whilst displaying a strong commitment to work in a