108 machine-learning-"https:"-"https:"-"https:"-"CNRS" PhD positions at Monash University
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
, clinical measurements, medical imaging and longitudinal health data provides opportunities for Artificial Intelligence (AI) and Machine Learning (ML) to improve cardiovascular risk assessment and prediction
-
Primary supervisor Bernd Meyer Research area Data Science and Artificial Intelligence This is an umbrella project that develops methods to monitor animals and more broadly biodiversity in natural environments. It focuses predominantly on acoustic methods but data fusion with visual and abiotic...
-
Primary supervisor Bernd Meyer Research area Data Science and Artificial Intelligence This is an umbrella project that develops methods to monitor animals and more broadly biodiversity in natural environments. It focuses predominantly on acoustic methods but data fusion with visual and abiotic...
-
Intelligence (AI) and Machine Learning (ML) to colorectal cancer research. Research Aim This PhD research aims to develop and evaluate explainable AI and machine-learning approaches for early detection
-
Intelligence (AI) and Machine Learning (ML) to colorectal cancer research. Research Aim This PhD research aims to develop and evaluate explainable AI and machine-learning approaches for early detection
-
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
-
Primary supervisor Thanh Thi Nguyen Research area Machine Learning Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of
-
Phung, Gholamreza Haffari Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019 [2] Learning to Actively Learn Neural Machine Translation [code] Ming Liu
-
Primary supervisor Lan Du Co-supervisors Prof Wray Buntine Research area Machine Learning Project Background & Motivation Active learning (AL) mitigates the heavy annotation costs of deep learning by
-
Phung, Gholamreza Haffari Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019 [2] Learning to Actively Learn Neural Machine Translation [code] Ming Liu