433 associate-professor-computer-"https:"-"https:"-"https:"-"https:" positions at Monash University
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Coordinator, Uni Prep to lead the development and delivery of the new Monash University Preparedness Program. This is an exciting opportunity to drive program design, build meaningful partnerships, and create
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goals. Am I eligible? You must meet the following criteria: be currently enrolled in a research masters or doctoral program as an internal/on-campus student at one of Monash University’s Australian
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I supervise a wide range of projects in gravitational-wave astronomy. This work is carried out within the Centre of Excellence for Gravitational-wave Discovery: OzGrav. As a member of my team, you will have the opportunity to interact with gravitational-wave researchers throughout Australia and...
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This project aims to identify novel methods for inferring actors, activities, and other elements from short message communications. Covert communications are a specialist domain for analysis in the Law Enforcement (LE) context. In this project we aim to improve law enforcement’s understanding of...
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We have several PhD, Research Assistant (RA) and master research thesis’s opportunities available in areas such as Multimodal Large Language Models (MLLM) for human understanding, MLLM safety, and Generative AI. If you have published in top-tier conferences (e.g., CVPR, ICCV, ECCV, NeurIPS,...
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Environmental Engineering Mechanical and Aerospace Engineering Electrical and Computer Systems Engineering Chemical and Biological Engineering Materials Science and Engineering About the Role We are seeking
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employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Professor James Whisstock, Deputy
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schools as part of the Access Monash Mentoring Program, giving you the opportunity to develop your leadership, public speaking and teamwork skills. The Gandel family have a close connection with Monash
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, including compute, storage, virtualisation and supporting infrastructure. Drive automation, monitoring, observability and AI-enabled operations to improve reliability, reduce manual effort and enable
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This project involves model-based depth of anaesthesia monitoring using autoregressive moving average modelling and neural mass and neural field modelling of the electroencephalographic (EEG) signal. This will be achieved through frequency domain and time domain state and parameter estimation...