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approaches to model uncertainty for learned computer vision systems, including dense prediction. The position will develop novel methods for deep learning in computer vision that accurately quantify their own
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, and PhD students conducting research focussed on ocean dynamics, connectivity, hydrodynamic model development and observing system design. The team are based in the School of Biological Earth and
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the traditional food chain. You'll also play a key role in shaping methods for sample collection, analysis, and data interpretation, working in partnership with local communities, industry stakeholders, and
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/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion or near completion of a PhD in applied mathematics, mathematics, statistics, operations
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soils and food products, including the traditional food chain. You’ll also play a key role in shaping methods for sample collection, analysis, and data interpretation, working in partnership with local
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activities, e.g. surveys, literature reviews, data gathering and/or recording of results using appropriate research methods. Participate in and/or present at conferences and/or workshops relevant
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on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion of a PhD in the social sciences. Experience
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, electronic and software engineering. The Institute consists of three Research Areas - the International Centre for Neuromorphic Systems, Brain Sciences, and Biomedical and Human Technologies. The Postdoctoral
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partners with CSIRO to develop a quantum software stack and with several industry partners for microwave control and quantum chip manufacturing. NQCT will include a large team of interdisciplinary
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”). This includes using structured light and angular momentum transfer to manipulate nano- and micron-sized particles in and around cells. By developing new methods to generate quantitative measurements