Sort by
Refine Your Search
-
, complex omics datasets (e.g. transcriptomic, genomic, proteomic), with demonstrated skills in statistical modelling; experience in machine or deep learning is advantageous. Emerging track record of research
-
collaboratively with colleagues from multidisciplinary disciplines Excellent time management and planning skills, with a commitment to delivery Strong background in machine learning and/or deep learning, and signal
-
of Teaching and Learning, maintaining records and advising students and course coordinators. Assist the School’s Assessment Officer with the preparation of examinations, examination submissions, mid
-
variable models (e.g., CLIP, GLIP, MaskCLIP). Knowledge of Transferability in Machine Learning is desirable. Knowledge in Active Learning is desirable. Programming skills and experience with dataset
-
ability to manage deadlines, prioritise accurately, and work autonomously under pressure. High computer literacy, including Microsoft and Adobe suites, with the capacity to rapidly learn specialist software
-
to, and enthusiasm for, the provision of excellent and accurate client service. Sound knowledge of key administrative policies and processes in a University or the ability to rapidly acquire that knowledge
-
regulatory standards. Ability to analyse and interpret research data and learn new research techniques. Excellent organisation and time management skills with the ability to work towards deadlines and maintain
-
management system and the ability to learn new computer applications would be advantageous Working at heights licence would be advantageous Sound knowledge of University of Queensland Campuses would be
-
communication styles to suit the audience Knowledge of key university policy and procedures affecting students, or demonstrated ability to rapidly acquire and apply such knowledge Excellent oral, written and
-
, audiovisual equipment, and computer systems used in both laboratory and field settings. The role may involve participation in overnight field teaching courses and occasional work outside standard hours