Sort by
Refine Your Search
-
, allocate resources, and hit strict deadlines. Advanced analytical, numeracy, and problem-solving skills, with exceptional computer literacy (specifically Microsoft Excel and reporting software). Excellent
-
With success stories ranging from speech recognition to self-driving cars, machine learning (ML) has been one of the most impactful areas of computer science. ML’s versatility stems from the wealth
-
advice and user support, deliver training, develop methods, troubleshoot instrumentation and ensure high-quality data to support world-class research. You will also support X-ray Computed Tomography (XCT
-
Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions
-
systems. The fast growth, practical achievements and the overall success of modern approaches to AI guarantees that machine learning AI approaches will prevail as a generic computing paradigm, and will find
-
management, distributed computing, and energy-aware computing, preparing them for impactful roles in industry and research. Key Components and Example Scenarios Predictive Resource Allocation and Load
-
of points for your degree are completed (excludes OSHC, accommodation and living costs). Participation in the Campus Ambassador Program from your second semester of study. Invitation to apply for a place in
-
potential remedial approaches - will be explored in this research program and they include (as examples): variability in staining outcomes across different stains and different sites (even within a given
-
Goal Recognition is the task of inferring the goal of an agent from their action logs. Goal Recognition assumes these logs are collected by an independent process that is not controlled by the observer. Active Goal Recognition extends Goal Recognition by also assigning the data collection task...
-
this goal, we expect to deeply and comprehensively explore the following directions: 1) Investigate privacy-enhancing techniques (e.g., differential privacy and/or secure multi-party computation) and design