Sort by
Refine Your Search
-
. Experience with medical data and a background in computer science or applied statistics will be highly regarded. Based at our vibrant and picturesque St Lucia Campus About UQ As part of the UQ community, you
-
leading plant breeding programs and developing successful partnerships with industry. Demonstrated ability in quantitative and statistical analysis of large genomic data sets An extensive record
-
Strong computing skills that ideally include matlab and/or R. Use of statistical models. Excellent written and statistical skills A familiarity with marine conservation and coral reefs would be
-
PhD in the neuroscience or health-related subject. Demonstrated expert knowledge and concussion/traumatic brain injury OR relevant experience in neuromodulation. Have excellent statistical and
-
in lung function testing in adults and/or children. A basic understanding of online databases and statistical packages and an ability to maintain accurate records and be confident navigating computer
-
statistical analysis using SPSS. A growing record of supervision of Honours and Research Higher Degree students to successful completion. Ability to work effectively both independently and as a member of a team
-
and be confident navigating computer systems. A basic understanding of online databases, statistical packages and data analysis. Previous experience with manuscript preparation and/or grant writing. In
-
for the body of research with young people, substance use, mental ill-health, mental wellbeing and eHealth. Knowledge of and competence in statistical analyses, data management and analyses packages (e.g. SPSS
-
in Statistical Genetics or Genetic Epidemiology to engage in research to further their expertise and growing research profile to achieve national recognition in their discipline. Outstanding Research
-
criteria: A track-record in substance use and comorbid mental health research. Clinical training/experience in substance use treatment. A high level of statistical expertise. Experience in managing large