25 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF" "https:" "https:" "https:" "https:" "https:" "P" "Dr" Postdoctoral positions in Australia
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Associate in all algorithmic areas of Theoretical Computer Science. In this role you will work closely with Drs Wirth, Mestre and Canonne on algorithmic research projects, and contribute to the collegial
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, signal processing and inverse modelling. The role is based at the Image X Institute and will be led by Dr Chandrima Sengupta. You will benefit from a strong mentoring environment; lead and be part of high
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of this appointment to apply. Employer sponsored work rights are not available for this appointment. Questions? For more information about this opportunity, please contact Dr Eric Dinglasan (e.dinglasan@uq.edu.au
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the Precision Agriculture, Hydrology and Geoinformation Science Laboratory (PAHGISL) at the University of Sydney. The project team at the University of Sydney includes Professor Thomas Bishop, Dr Patrick Filippi
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ambitious research program advancing AI-enabled decision-making dynamics in future megaprojects. The successful candidate will work with Dr. Wanchun Liu , Senior Lecturer and Australian Research Council
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, please contact Dr Birgitta Ebert -birgitta.ebert@uq.edu.au . For application inquiries, please reach out to the Talent Acquisition team at talent@uq.edu.au , stating the job reference number (below) in
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place. Position Summary Under the supervision of Senior Lecturer Dr Deborah Burnett , this Post-Doctoral Fellow position offers a unique opportunity to contribute to cutting-edge research investigating
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visualization; applicants are encouraged to include links to relevant code or repositories in their CV experience working with multimodal or data‑driven research workflows and translating quantitative outputs
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research students. Experience in in-vivo calcium imaging, radiotelemetry , student supervision, or sophisticated analytical skills in electrophysiology, bioinformatics, image analysis or coding will be
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visualization; applicants are encouraged to include links to relevant code or repositories in their CV experience working with multimodal or data‑driven research workflows and translating quantitative outputs