311 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Ulster-University" positions at Monash University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
degree, or High Second-Class Masters degree or equivalent in the health-related field. Strong quantitative research skills. An understanding of quantitative research methodology and data analysis. Evidence
-
of the ARC Laureate Fellowship, providing hands-on support for data-intensive research activities. It will contribute to the curation and processing of UK Biobank data and assist in developing an integrated
-
climate science researchers, processes and data can lead to innovations in music. The successful applicant will join the Climate Vocabularies research team and contribute to the wider project within
-
, characterization and evaluation of novel PfM1 and M17 aminopeptidase inhibitors. This would include compound design, data management and analysis and sample preparation as well as a range of drug discovery-related
-
, maintain laboratory equipment and supplies, analyse data, update operating procedures, and assist with research administration. You will also help train staff in selected laboratory techniques and ensure a
-
registered higher education provider under the TEQSA Act 2011. We acknowledge and pay respects to the Elders and Traditional Owners of the land on which our five Australian campuses stand. Information
-
communication skills, with excellent attention to detail. Well-developed interpersonal and collaboration skills, with the ability to build positive relationships with diverse stakeholders. High-level computer
-
will be considered for the Scholarship as part of the selection process for the Integrated PhD program. Information about the application process for the Integrated PhD program is provided here
-
shape health, employment, and wellbeing outcomes for individuals and families. The successful candidate will join a highly collaborative research team using linked employer–employee administrative data
-
measurements in particle physics. Many of my projects are informed directly by current measurements, e.g. addressing new or unexpected features seen in the data. Others focus on improving the formal accuracy