32 programming-"https:"-"https:"-"https:"-"HFML-FELIX" Postdoctoral positions at University of Sydney
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Full-time fixed term contract for 2 years Join a large-scale, interdisciplinary research program Base Salary ranging from $117,936- $157,381 + 17% superannuation About the opportunity The Sydney
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of oats since 1934. An exciting opportunity exists for a Postdoctoral Research Associate to join an externally funded research program in the School of Life and Environmental Sciences . The team is focused
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the project's methodological direction and contribute to a collaborative research program spanning statistics, bioinformatics and applied biology. Your key responsibilities will be to: develop statistical and
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everyone can thrive. We are committed to creating a University community that reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key
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Full time fixed term for 12 months at Camperdown Campus Opportunity to join a pioneering research program focused on digital innovation, quantum-enhanced modelling, and resilient infrastructure
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on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People , women , people living with a
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science, statistics, biomedical engineering or a related field strong programming skills in R or Python experience working with spatial omics data, histopathological data, or related large-scale biological datasets
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experience in numerical computation and scientific programming a strong research record and excellent communication and collaboration skills How to Apply Applicants are required to submit three documents as
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as articulated through the Faculty/School/Portfolio’s Strategic Plan/ s or equivalent undertake other duties and contribute to projects appropriate within the classification level as required About you
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that underlie astrophotonic applications demonstrated skills in devising and performing optical laboratory experiments demonstrated skills in scientific / numerical programming and data analysis excellent