69 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" research jobs at University of Sydney
Sort by
Refine Your Search
-
analyse data in the manufacturing process. The project is a partnership between Rux Energy and USYD and is a multi-disciplinary effort between scientists and engineers. We are looking for a Postdoctoral
-
, including data analysis (e.g., interrupted time series, linked healthcare data, PBS datasets), survey design and implementation, and mixed‑methods approaches · experience conducting systematic reviews
-
the Centre for IoT and Telecommunications (CIoTT) in the School of Electrical and Computer Engineering. CIoTT is internationally recognised for excellence in wireless communications and signal processing and
-
. This position will be based within the Leeder Centre for Health Policy, Economics and Data, known for high quality health policy research, analysis, advice and education. We focus on improving public health
-
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
-
density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
-
their affiliates submitted on or after 1st January 2024, with allowances for career interruption. strong track record relative to opportunity (thesis, publications, preprints, data/products, or equivalent research
-
, 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
-
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