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? No Offer Description All details of the selection are contained in the notice, published on the University website http://web.unicz.it/it/category/concorsi-personale-docente G.S.D. 14/GSPS-05 - S.S.D
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models (LLMs) have become significantly more difficult to detect, as a poisoned parameter update is harder to recognise than a poisoned dataset. Therefore, several methods have been developed recently to
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, D. D. et al., LSPD: A Large-Scale Pornographic Dataset for Detection and Classification — https://inass.org/wp-content/uploads/2021/09/2022022819.pdf [2] Jia, M. et al., Fashionpedia: Ontology
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condition, please contact us so we can make all necessary accommodation. Find out more about our DEI work here https://group.springernature.com/gp/group/taking-responsibility/diversity-equity-inclusion
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of annotations and the complexity of the object detection task. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional Information Eligibility
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Full Professorship (W3) for ‚Clinical Epidemiology of Early Cancer Detection’ (f/m/d) We are looking for a highly distinguished physician scientist with an outstanding international reputation who
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application Related works: [1] Phan, D. D. et al., LSPD: A Large-Scale Pornographic Dataset for Detection and Classification — https://inass.org/wp-content/uploads/2021/09/2022022819.pdf [2] Gangwar, A. et al
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will collaborate at the development of innovative methodologies for the detection and tracking of objects with radar and optical sensors. The techniques will be applied to the protection of aircraft in
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the development of numerical models. Metrics to quantify damage detection effectiveness, such as Probability of Detection (POD) and Model-Assisted POD (MAPOD), will be identified to develop a figure of merit
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Innovation. The project focuses on detecting radioactive contaminants in liquids. The postdoctoral researcher will participate in the production of materials and contribute to the development of dedicated