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paradigms rely on a fragile "closed-world" assumption: that the unlabeled pool perfectly reflects the distribution of the labelled seed set. In real-world deployments, this is rarely true. Data streams
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hospital or population often fail when applied elsewhere due to distributional shifts. Since acquiring new labeled data is often costly or infeasible due to rare diseases, limited expert availability, and
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discovery. While deep generative models have shown promise in proposing novel molecular structures, they typically require massive, cleanly labelled datasets to train effectively. In practice, acquiring high
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that can be achieved e.g. in perturbative calculations, typically then also with direct bearing on current or planned measurements. Our team is part of several global collaborations, centred mainly in Europe
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them The Opportunity As a Library Experience Officer, you are part of the Library’s Frontline Services team, ensuring welcoming and inclusive spaces and services for Monash students, staff, Alumni, and
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neural networks, we aim to improve the interpretability and robustness of reconstruction techniques. Another exciting direction involves self-supervised learning, which reduces reliance on fully labeled
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day Take your career in exciting, rewarding directions Be a part of an inclusive, collaborative community The Opportunity The Faculty of Pharmacy and Pharmaceutical Sciences Marketing team is looking
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superannuation) Contribute to the optimum welfare of laboratory animals Provide support to interesting projects and staff Be a part of an inclusive, collaborative team The Opportunity Join MARP and become part of
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Animal Technician Job No.: 691034 Location: Gippsland Employment Type: Part-time, fraction (0.9) Duration: Fixed-term appointment until 6th April 2027 Remuneration: Pro rata of $69,079 - $77,760 pa
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First Nations Research Fellow Job No.: 692566 Location: Mildura Employment Type: Part-time, fraction (0.4) Duration: 9 month fixed-term appointment Remuneration: Level A $86,195 - $116,981 (plus 17