343 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "ETH Zürich" uni jobs at Monash University
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into AI systems or mathematical and computational models of brain function. This project would be for someone who wishes to pursue a deeper understanding of humans and machines and the meaning this has
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the financial pressures of study. Further, as a result of my scholarship, I have been able to purchase a new computer to assist in my studies. This improved my capacity to focus on my studies and
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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
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addictive studies Be surrounded by extraordinary ideas shaping the future of online education The Opportunity We are seeking to appoint an Assistant Lecturer to join the Graduate Program of Addictive
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-task, we encourage you to apply. General Practice experience and intermediate to advance computer skills are desirable, but not essential. A valid driver’s license and willingness to drive to general
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for inference, yet differs from standard Bayesian approaches through its information-theoretic foundation. The MML87 approximation achieves computational tractability while remaining virtually identical to Strict
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Grace Kang Global Assist Grant The Grace Kang Global Assist Grant is introduced to support coursework students who participate in an overseas study program as part of their Monash degree. Total
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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...
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This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful applicant will work as part of a larger research team. Reasoning and decision making under...
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Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available at one time. In non-stationary environments on the other hand, the same algorithms cannot be applied...