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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations
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, implementation, testing and support of clinical applications utilized by clinical and operational departments. Incumbent implements and provides advanced level device, server, software and network support to UCDHS
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Posting Details Posting Details Job Title Computer Support Specialist II Requisition Number RE53613 Working Title Department Name 81280:AG DATA CENTER Work Location Princeton, KY Grade Level 43
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architectures (e.g., convolutional neural networks or transformers); deep specialization is not required. Exposure to Generative AI concepts and large language models (LLMs) is a plus. Proficiency in Python
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successful in this position, you will ideally bring the following: For the Networking and AI position: Completed a PhD in Computer Science, Electrical & Computer Engineering, or a closely related field Expert
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operational departments. Incumbent implements and provides advanced level device, server, software and network support to UCDHS staff and faculty throughout the hospital and clinics, often communicating and
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. Additional Qualifications: Knowledge of machine learning tools such as penalized logistic regression, XGBoost, neural networks. Knowledge of modeling strategies including propensity score weighting and doubly
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to follow oral instruction, read, and write. Computer/basic keyboard skills, telephone etiquette skills, and general knowledge of office machines including printers and scanners. Excellent customer service
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Office of Faculty of Computer and Mathematical Sciences Founding Dean of Faculty of Computer and Mathematical Sciences (Ref. 260305005-IE) This new Faculty of Computer and Mathematical Sciences
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; SQL; Basic database administration of databases such as Postgres, MySQL, SQL Server; Network file systems including NFS, SMB/CIFS; Basic application development using computer languages such as PHP