14 postdoc-machine-learning Postdoctoral positions at University of Sydney in Australia
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with SCION in New Zealand bringing together researchers in robotic perception, machine learning, remote sensing and silviculture to transform and upscale forest phenotyping operations. The role will be
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ternary neural networks using FPGA devices. The successful candidate will have significant experience in machine learning, FPGA design and an outstanding track record in conducting machine learning research
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draws on large-scale data collection and archival records, and applies a diverse set of methodologies such as text analysis and machine learning to assess the impact of colonisation. About you PhD in
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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/AI expertise) systems Engineering or Control Systems (with applications to large-scale projects) artificial Intelligence / Machine Learning (with interest in applications to megaprojects or governance
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
. The project is aimed to improve our in-house developed process-based computer model and use it to represent the soil ecohydrological and biogeochemical interactions across various carbon and nitrogen soil pools
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celebrated. We are continuously working to identify and remove biases and barriers in an effort to make our workplace open, supportive and safe for everyone. To learn more about the School of Physics, click
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computer literacy and proficiency in using various research and administrative software applications, that may include Microsoft Suite, REDCap, SPSS and other relevant data analytic software excellent
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to identify and remove biases and barriers to make our workplace open, supportive and safe for everyone. To learn more about the School of Chemistry, click here About you The University values courage and
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methodologies for neuroimaging data pre-processing and analysis; with a motivation to learn new techniques and keep up-to-date with best practices. Publication and Dissemination: Prepare research findings