Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Monash University
- Curtin University
- The University of Queensland
- University of Adelaide
- Nature Careers
- Queensland University of Technology
- RMIT University
- University of New South Wales
- CSIRO
- Flinders University
- RMIT UNIVERSITY
- University of Southern Queensland
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Australian National University
- Central Queensland University
- University of Technology Sydney
- 6 more »
- « less
-
Field
-
. Maintain a strong understanding of developments in computer hardware, software systems and algorithms where they apply to data science. As a member of the University community, demonstrate the highest
-
experiments for months before the value of output y is measured for some given input x. This creates an exciting challenge for AI researchers to develop smart algorithms that can find the optimal value of input
-
modelling, enabling more cost-efficient training algorithms. Program overview The successful candidate will receive: Admission to a PhD program at the University of Adelaide; A four-year scholarship package
-
objectivity and consistency. Recent studies have highlighted the potential of computed tomography (CT) scans to provide objective markers of frailty. Metrics like Psoas Muscle Density (PMD) and Kidney to Body
-
queries, and automating data transformations. By combining advancements in natural language understanding, algorithm synthesis, and debugging, the proposed framework will enable developers to efficiently
-
School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 3 years Base salary will be in the range $80,448.78- $107,104.10 + 17% Superannuation (Academic
-
to research-based activities, including the development of new data analysis algorithms, processing and analysis of field data, and participation in the fieldwork. Your responsibilities will include: Conduct
-
campus, but may be required to travel to other University campuses In the School of Computing Technologies, we aim to change student experience by embracing evidence-informed pedagogical strategies, and
-
at the City campus, but may be required to travel to other University campuses In the School of Computing Technologies, we aim to change student experience by embracing evidence-informed pedagogical strategies
-
publicly available datasets; 3) Proposing algorithms aimed at improving the accuracy of human activity detection; 4) Implementing these algorithms, evaluating their performance empirically, and comparing