462 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "Inserm" positions at Monash University
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and beyond. About You We're seeking a passionate individual who thrives both independently in a research environment and as a collaborative member of the History program. As the successful candidate you
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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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Veterinarian forms part of a dynamic team accountable for the delivery of a comprehensive program of veterinary care encompassing the animals and activities supported by MARP. You will use your high-level
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Duration: 3 years 9 months Remuneration: Scholarship awards provide a stipend of AUD$35,000 per annum (tax-free). Additional support will be available for computing/conference attendance. The Opportunity
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to reason with more than just and-gates, not-gates and or-gates! For example, we now have non-classical logics which capture notions such as “phi is true until psi becomes true”; “if we execute atomic program
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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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-term appointment Remuneration: The successful applicant will receive a tax-free stipend, at the current value of $36,063 per annum 2025 full-time rate, as per the Monash Research Training Program (RTP
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. Working under the direct supervision of the Group Lead, the Research Officer will assist in delivering high-quality experimental and technical research services to support the lab's program outcomes
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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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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...