Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Monash University
- University of New South Wales
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- RMIT University
- UNIVERSITY OF SYDNEY
- RMIT UNIVERSITY
- ADELAIDE UNIVERSITY
- Australian National University
- Chapman University
- Imperial College London (ICL)
- Inria, the French national research institute for the digital sciences
- Lunds universitet
- SWINBURNE UNIVERSITY OF TECHNOLOGY
- The Garvan Institute
- The University of Queensland
- The University of Southampton
- UNSW Science
- University of Lund
- University of Sydney
- 9 more »
- « less
-
Field
-
requirements of Monash for PhD (https://www.monash.edu/graduate-research/future-students/apply); Knowledge of machine learning (would be a plus if familiar with NLP and Medical AI); Knowledge of cybersecurity
-
. Skills Terms programming; R; Python; Statistical methods; machine learning; differential expression; bulk RNAseq; scRNAseq; Linux/unix; spatial transcriptomics URLs/references https://ramialison
-
Primary supervisor Levin Kuhlmann Research area Machine Learning What makes a machine conscious? This PhD would be at the intersection of Philosophy, AI and neuroscience. You would study the latest
-
Primary supervisor Levin Kuhlmann Research area Machine Learning What makes a machine conscious? This PhD would be at the intersection of Philosophy, AI and neuroscience. You would study the latest
-
Primary supervisor David Dowe Co-supervisors Dr Nenad Macesic Research area Machine Learning Antimicrobial resistance (AMR) is one of the most significant and immediate threats to health in Australia
-
Primary supervisor David Dowe Co-supervisors Dr Nenad Macesic Research area Machine Learning Antimicrobial resistance (AMR) is one of the most significant and immediate threats to health in Australia
-
Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/40251 Job Number SE212124 Position Information Department or Unit Name Fowler School of
-
of AMR infections. The specific aims of this project are: 1. Rapidly identify AMR and predict treatment responses through use of genomics and machine learning in a clinical context. 2. Detect
-
from an unbiased strategy space.” Journal of the Royal Society Interface 16 (2019): 20190127. https://doi.org/10.1098/rsif.2019.0127 Perera, I., de Nijs, F. and García, J. “Learning to cooperate against
-
from an unbiased strategy space.” Journal of the Royal Society Interface 16 (2019): 20190127. https://doi.org/10.1098/rsif.2019.0127 Perera, I., de Nijs, F. and García, J. “Learning to cooperate against