15 bayesian-inference-tracking Postdoctoral positions at University of Sydney in Australia
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: developing and testing new approaches to water resources modelling, application of Bayesian inference methods to environmental problems, machine learning and data science applications, undertaking analysis and
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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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the mentoring of the PhD students related to the project. About you a PhD in an area related to philosophy or the history of philosophy research or proven track-record on women in the history of philosophy strong
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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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collected data from sampling larval, juvenile and adult fish using a variety of methods (seining, BRUVs) and acoustic tracking to measure fish movement and connectivity. Expected outcomes of this project
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looking for a Postdoctoral Research Associate in Biomaterials who has: a PhD in cell biology, molecular biology, biomedical engineering, biotechnology, biomaterials or a related area a strong track record
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of ecology, interspecies communications and/or Multispecies Justice strong track record of outstanding artistic practice of national or international standing strong track record of publications, both written
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with electrochemistry and chemical engineering a strong track record of publications, research translation and other impact metrics excellent communication skills with the ability to work dynamically and
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complex analysis an excellent track record of publishing high-quality papers in top-tier mathematics journals solid mathematical programming skills. Pre-employment checks Your employment is conditional upon
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strong publication record in peer-reviewed journals demonstrated ability to independently design and execute experiments proven track record of generating high-quality, reproducible research data