477 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at Monash University
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excellence and mentoring early career academics Leading staff development, performance and workload equity Expanding the School’s HDR program and fostering interdisciplinary collaboration This role offers
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, hands-on role with the Faculty of Education as our next Operations Assistant! Be at the centre of the action, supporting the Operations team to plan, coordinate and deliver a wide range of activities
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to dedicate more time to my studies as well as to other things to promote my leadership skills, such as through the Access Monash mentoring program. This opportunity has only helped encourage my passion
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healthcare, finance, environmental monitoring, and beyond. While recent advancements in foundation models have shown tremendous success in NLP and computer vision, the unique characteristics of time series
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was Dean of the Faculty of Arts from 1999 to 2006. It celebrates the achievements of students who have overcome serious academic hardship and are eligible to enter the honours program. You will receive a
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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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. If successful, you will join Dr. Roberto-Martinez Maldonado, Prof. Dragan Gasevic, and a strong team of academics, researchers and other students at the Centre of Learning Analytics at Monash University
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Synthetic data generation has drawn growing attention due to the lack of training data in many application domains. It is useful for privacy-concerned applications, e.g. digital health applications based on electronic medical records. It is also attractive for novel applications, e.g. multimodal...
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Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown promising results in building prediction models, they are typically data-centric, lack context, and work...
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Nowadays more and more intelligence software solutions emerge in our daily life, for example the face recognition, smart voice assitants, and autonomous vehicle. As a type of data-driven solutions, intelligent components learn their decision logic from data corpus in an end-to-end manner and act...