282 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Central-European-University" positions at Monash University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
judgment to navigate complex environments. You will be experienced in interpreting detailed information to produce accurate research budgets, plans and funding proposals, and confident in crafting compelling
-
health economics, labour economics, economics and econometrics. We will also consider other quantitative disciplines such as data science, mathematical statistics, actuarial science or public health
-
communication skills, with excellent attention to detail. Well-developed interpersonal and collaboration skills, with the ability to build positive relationships with diverse stakeholders. High-level computer
-
project from initiation through to implementation • Support trial governance, ethics, regulatory compliance and reporting requirements • Coordinate data capture processes, protocols, logistics and site
-
, presentations, committees, funders and community groups • Provide expertise in governance, compliance, reporting and process improvement • Maintain oversight of confidential and sensitive research information
-
. You will analyse data to inform decision-making, manage budgets and projects, strengthen compliance and quality frameworks, and cultivate productive partnerships across internal stakeholders. As the
-
research record in one or more areas of theoretical quantum science, including: Quantum computing Quantum information Quantum communication Quantum sensing Quantum optics Quantum materials Quantum energy
-
, presentations, committees, funders and community groups • Provide expertise in governance, compliance, reporting and process improvement • Maintain oversight of confidential and sensitive research information
-
the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
-
This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer