82 web-programmer-developer-"https:"-"UCL"-"CERIC-ERIC" positions at La Trobe University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
at an allocated clinical school for the third year of the program, with all relevant theory and clinical placements provided within clinical school networks. Bachelor of Nursing/Bachelor of Midwifery students
-
to developing curriculum, assist in the coordination of subjects, teach, assess, and support students as they learn. In addition, a teaching focused academic will support the administrative functions
-
role requires the development, coordination and teaching of a high-quality learning experience in the Master of Sport Analytics and Sport and Exercise Science degree programs that engages students
-
$2,500 instalments following the census date each semester. Background The La Trobe University Regional Pathway Program has a powerful impact on the participation of regional students in higher education
-
stakeholder forums to gather insights and feedback. Prepare Research Outputs: Contribute to the development of publications, conference presentations, and other forms of research communication. To be considered
-
a range of ongoing projects, in various stages of development, and will have the opportunity to contribute actively to the research process and planning of future research. Note that we are recruiting
-
role. Educational and professional qualifications that demonstrate industry expertise in AI, Analytics and related ICT domains. Capacity to contribute to effective teaching and curriculum development
-
have access to our suite of professional development program In selecting successful applicants, we prioritise applications from candidates who:
-
future autonomous instrument control and self-directed experimentation will be developed, recognizing the challenge presented by the integration of multiple complex systems. Coding and user interface
-
materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models