95 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "https:" "CNRS" PhD positions in Australia
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PhD Scholarship Develop GNSS-IR methods and integrate GNSS-derived observations with satellite data and land surface models through data assimilation to deliver accurate, high-resolution soil
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AI PhD Scholarship - Opportunity: Foundation Models for Brain Data Job No.: 696618 Location: Clayton campus Employment Type: Full-time Duration: The scholarship may be held for up to 3.5 years
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The Centre for Data Science (CDS), the Australian Institute of Sport (AIS) and Queensland Academy of Sport (QAS) are leading a consortium of government and industry organisations in sports, sports and
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Status: Open Applications open: 1/04/2025 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded by
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UniSQ application in Step 1 Applicants wishing to enrol in the Cotutelle PhD program should contact [email protected] for more information Closing date This scholarship will remain open all
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systems. Analyse mixed-methods data (quantitative biometrics + qualitative focus groups). Collaborate with educators, engineers, and industry partners. How to apply To apply, please ensure you have digital
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. The project will involve periods of intensive field measurements, laboratory work, and data processing. Field studies will be mainly carried out in south-east Queensland and south-west New South Wales
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between the conveyor belt and the bulk material, and experimentally validate this model using both laboratory and onsite data. In 2022, mining and mineral processing contributed roughly 70% of Australia's
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. ##Application information In order to apply for this role, please ensure that you upload the following documents: - A cover letter - A curriculum vitae - Transcript of Bachelor's degree - Transcript of a Master's
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evolution, chemistry and morphology. This project will investigate how machine learning can learn physically meaningful representations directly from these data and help understand how materials evolve during