Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Australian National University | Canberra, Australian Capital Territory | Australia | about 4 hours ago
Science and Analytics cluster. The successful candidate(s) will contribute to collaborative research, educational activities, and stakeholder engagement, while actively participating in the broader
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 hour ago
cluster. The successful candidate(s) will contribute to collaborative research, educational activities, and stakeholder engagement, while actively participating in the broader intellectual and cultural life
-
projects attached to the research center/cluster and The Business School (TBS), either directly as project member, project leader or under the guidance of the project leader. Working under the general
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 16 hours ago
be based in the School of Medicine and Psychology, with strong links to the School of Computing within the Data Science and Analytics cluster. The successful candidate(s) will contribute
-
courses How to apply Closing date: By 11:55pm, Sunday 14th September 2025 Position Enquiries: Jodi Oakman, Professor (Discipline Cluster Lead) Psychology & Public Health via email: J.Oakman@latrobe.edu.au
-
Oakman, Professor (Discipline Cluster Lead) Psychology & Public Health via email: J.Oakman@latrobe.edu.au Recruitment Enquiries: Lisa White, Talent Acquisition Consultant via email: Lisa.White
-
implementation science. We are now seeking an exceptional Research Fellow (Level B or C) to lead innovative methodological research in statistical theory for adaptive variants of longitudinal cluster randomised
-
role will involve isolating and cultivating microbes under varied conditions, extracting and characterising novel natural products, and analysing biosynthetic gene clusters (BGCs) to uncover
-
the recruitment process. To Be Successful You Will Need Level ARAS Relevant tertiary qualifications and demonstrated experience in transcriptomic data analysis and relevant methodologies (e.g. RNA-seq, clustering
-
, cluster randomised controlled trials implementation science, data linkage, data science, machine learning and artificial intelligence. In this role, you will have the opportunity to engage in a series of