Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Research Fellow – AI/Machine Learning in Pharmaceutical Data Job No.: 697007 Location: Clayton campus Employment Type: Full-time Duration: 11-month fixed-term appointment Remuneration: $86,195
-
The Australian Plant Phenomics Network (APPN): Based at the School of Agriculture and Food Sustainability Full-time (100%), fixed-term position until 31 December 2027 Base salary will be in the range $83,698.91 - $111,431.10 + 17% Superannuation (Academic Level A) Based at our St Lucia...
-
, data processing pipelines, machine learning and generative AI applied to physical activity and sleep research. The position will contribute to the development of an AI-based behaviour change tool and
-
are particularly interested in: machine learning for molecular and omics data, including representation learning for biological sequences and structures, and the integration of multiple omics layers machine learning
-
, machine learning, and multi-omics technologies to drive discoveries that have the potential to transform cancer diagnosis, treatment, and patient outcomes. This is an exceptional opportunity to create
-
differential geometry, algebraic geometry, etc.) or for computer science (such as machine learning, linear logic, etc.).While the position start date is flexible, the successful applicant must have completed
-
differential geometry, algebraic geometry, etc.) or for computer science (such as machine learning, linear logic, etc.). While the position start date is flexible, the successful applicant must have completed
-
for Academic Performance . About You You will demonstrate: Completion of a PhD in computer science, cyber security, human-computer interaction, or a closely related discipline with a focus on privacy, provenance
-
quantitative genetics, Bayesian methods, machine learning, large-scale genomic datasets, single-cell omics or integrative omics analyses would be highly regarded if the candidate was not initially trained in
-
has a fixed-term opportunity for a Postdoctoral Fellow / Senior Research Fellow to contribute to world-leading research in continual learning, computer vision, multimodal foundation models, and