74 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" "UCL" research jobs at University of Sydney
Sort by
Refine Your Search
-
the community • Studying health disparities and outcomes using epidemiological data The University of Sydney are seeking one part-time (0.4FTE) Research Assistanta to join EPIC-ND, a MRFF-funded research project
-
, and manage data analysis. They also collaborate with researchers and stakeholders to ensure a seamless flow of research documentation. Your key responsibilities will be to: Contribute to the design and
-
, Environmental Science (with a quantitative focus) or related fields; strong experience in large-scale data processing and management, including working with high-dimensional, multi-country or time-series datasets
-
actively contributing to clinical trial activities, performing trial participant recruitment, undertaking core aspects of clinical trial work and contributing to data entry and patient follow up. Your key
-
of all.” The incumbent will be highly experienced in NHMRC research projects and specifically be experienced with large healthcare data sets and possess advanced skills in intensive care research Your key
-
coordinating the collection of data, including assisting other research staff with data entry and analysis assisting in presentations to clinical staff and other services to promote and provide information about
-
apply quantitative and data-driven models to study protein interactions and their context-dependent behaviour, linking computational predictions with condition-specific biological responses. You will have
-
professionals, and a diverse team of researchers and key stakeholders to complete a range of activities, such as survey development, data collection, interviews, qualitative data analysis and manuscript
-
development of research protocols, ensuring timely execution of research activities -Assist with data collection and analysis, ensuring data quality and accuracy -Collaborate with researchers, clinical
-
informatics proven experience in original research and scholarly activity experience in next-generation sequencing data analysis or integrative analysis of multi-dimensional data high-level skills in