409 Computer-Science-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Monash University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Join an exciting research program as a Postdoctoral Research Fellow, investigating how digital e-auctions can improve agricultural market performance in Lao PDR and Cambodia. You will contribute
-
them The Opportunity This role supports the execution of the Australia-India Strategic Research Fund (AISRF) project, “Designer crops: engineering thermotolerance for agricultural productivity,” jointly
-
protocols, ethical requirements and regulatory standards. We are seeking someone with a tertiary qualification in a relevant discipline, such as Psychology, Health Science or another Allied Health field
-
career in exciting, rewarding directions About the project There are several potential PhD projects available for support through the NHMRC-funded Blood Synergy program. Candidates will contribute to a
-
deployable video analytics technologies. Candidate Profile We are seeking highly motivated applicants with a strong academic background in computer science, data science and artificial intelligence. Applicants
-
Recent advances in artificial intelligence have produced highly accurate diagnostic models across a wide range of medical applications. However, these systems often provide little insight into how decisions are made, limiting clinician confidence and adoption in healthcare settings. Large...
-
Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
-
. The Opportunity This interdisciplinary PhD project between IT and the social sciences will explore the development of computational approaches for detecting and analysing misogynistic backlash ecosystems across
-
of Psychological Sciences and Turner Institute for Brain and Mental Health, the position will support study coordination, data collection and management, data analysis and evaluation of a digital brain health
-
their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model