999 network-coding-"Chung-Ang-University"-"Chung-Ang-University" Fellowship positions
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webpage, under the terms of the administrative procedure code (CPA). The final decision will be taken within a maximum period of 60 working days after the conclusion of the previous hearing
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to have completed their Ph.D. or have it completed by the start of employment. Skills and Knowledge: Knowledge of modeling and data analytics to develop simulation codes and for conducting data analysis
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of linear wave equations and boundary element techniques as well as their high-frequency approximations. Furthermore, the candidate will be expected to extend the existing code in order to apply the developed
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Research Fellow in AI for Healthcare (1 FTE) – ArcHub ICUSafeNotes-School of Computer Science 011287
Website https://www.universityofgalway.ie/ Street University Road Postal Code H91 TK33 E-Mail recruit@universityofgalway.ie STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options
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of opportunity to all. We subscribe to Equality CharterMarks such as the Diversity Charter Mark NI and Athena Swan and have established staff networks such as iRise (Black, Asian, Minority Ethnic and International
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Athena Swan and have established staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us progress equality. For further information
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referring to statistical and system characteristics in the real world contrary to an ideal learing setting. The candidate will contribute to understanding how neural networks extract the most relevant
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application to software analysis, fuzz testing, automated program repair, and security reasoning. Experience in system-level security, protocol robustness, smart contract code auditing, cross chain behavior
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language models (LLMs) and their application to software analysis, automated program repair, and security reasoning. Experience in system-level security, protocol robustness, smart contract code auditing
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network engineering and angiogenesis 3). Applications of machine learning in cell and tissue engineering Candidates should have demonstrated publication records in cardiac and vascular engineering or