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is currently seeking a Postdoctoral Research Associate in the development and application of hybrid numerical-asymptotic methods to nonlinear systems. Your key responsibilities will be to: work on an
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and Ar-Ar geochronology, fission-track and (U-Th-Sm)/He thermochronology, vitrinite reflectance, and thermal history models. New relational data models data for incorporating methods such as include
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at the University of Sydney is currently seeking a Postdoctoral Research Associate (Physics) to work within the Dynamics and Neural Systems Group, led by A/Prof Ben Fulcher, on developing novel methods to analyze non
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and Ar-Ar geochronology, fission-track and (U-Th-Sm)/He thermochronology, vitrinite reflectance, and thermal history models. New relational data models data for incorporating methods such as include
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expertise in at least one of the following: geochemistry, carbonate sedimentology, paleoecology, paleoclimatology, numerical modelling, relational database design, and geological data science a strong track
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for everyone. Our research excellence is recognised by numerous prizes and awards to individual staff members and the award of over $7 million in research funding each year. Our staff are also recognised
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, oxy-combustion and quenching of radicals on solid surfaces. Many of the burners developed by the group are now established as international benchmarks for the development and validation of numerical
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learning at scale. Research directions include designing algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating
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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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network of academic, industry and professional partners and stakeholders skills in qualitative research methods and ability to lead research involving interviews and focus groups experience conducting