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Large Language Models (LLMs), integrating dataset expansion, evaluation, incremental fine-tuning, and security-aware code generation validation. The student will build an integrated pipeline that reuses
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refine, formalize, and extend an existing perturbation methodology to construct a principled, security-aware dataset of real-world vulnerable and secure JavaScript code. The work plan includes: 1
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to the minutes and the final ranking list. After notification, candidates will have 10 working days to comment on the draft decision (prior hearing of interested parties, under the terms of the Code
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policy outputs Adhere to AIATSIS Code of Ethics and Indigenous Cultural and Intellectual Property protocols About You: A PhD in a relevant discipline (e.g. geography, planning, political economy, law
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Organization U.S. Food and Drug Administration (FDA) Reference Code FDA-CBER-2026-0046 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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. This position is suited to an independent, research-focused academic with a strong publication record and demonstrated expertise in modern epidemiologic methods, advanced analytics and coding in R, and
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an advantage if you have Interest in the mechanical behavior of materials. Experience with machine learning and/or programming/coding. Experience with finite element modeling from civil, mechanical, or marine
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Organization U.S. Food and Drug Administration (FDA) Reference Code FDA-CBER-2026-0042 How to Apply Connect with ORISE...on the GO! Download the new ORISE GO mobile app in the Apple App Store
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Organization U.S. Food and Drug Administration (FDA) Reference Code FDA-CBER-2026-0045 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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working style and excellent interpersonal skills. It will be particularly relevant prior experience in Drosophila husbandry, fluorescence microscopy, biological data analysis and coding experience although