72 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" research jobs at University of Sydney
Sort by
Refine Your Search
-
across large cohorts (e.g., >300 samples) demonstrated experience in data analysis, visualisation, and machine learning, using programming languages such as R or Python excellent interpersonal, verbal, and
-
development of research protocols, ensuring timely execution of research activities coordinate and submit grant applications, ensuring compliance with all requirements assist with data collection and analysis
-
, Professor Feike Dijkstra and Professor Stephen Cattle. The successful applicant will also work closely with CSIRO scientists; including project lead Dr Mark Farrell and Dr Uta Stockmann. For more information
-
, information systems, operations research, or computational social science. evidence of a developing research profile, including publications record relevant to career stage research expertise in one or more of
-
milestones and deadlines good analytical skills and attention to detail and ability to utilise data analytics and modelling software accordingly experience in space solar cells qualification, acceptance
-
large-scale cross-cultural and longitudinal studies in collaboration with international research teams manage multi-site data collection, including ethical approvals and cross-country protocols conduct
-
essential PhD experience in single-cell research and data analytics, ideally in proteomics or transcriptomics. The candidate should have evidence for high-impact publications, experience working with HPC
-
is located on an NSW Health site, it is a regulatory requirement to complete compulsory employment checks prior to starting in this position. For more information and instructions, please visit:NSW
-
discovery, generating mechanistic data that directly informs the development of next‑generation medicines for neurological disorders Base Salary, Academic Level A $113,400 - $121,054 + 17% superannuation
-
assistance for the fall prevention modelling project lead qualitative research activities including co-design workshops, participant interviews, thematic analysis, and report writing contribute to data