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libraries and LLM stack for local and cloud deployment (e.g., PyTorch, Hugging Face Transformers and other libraries, LMDeploy, Chroma, Ollama, LangChain, MS Azure, OpenAI, Google Gemini…). Experience with
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requirements: Experience using Azure DevOps pipeline. Experience using JIRA and Confluence. Boomi certification(s), Agile/Scrum experience, AI/LLM integration knowledge What can you expect in return Our diverse
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: Textual Prediction of Survival (LLM classification & Attention Modelling) This project develops a model to predict patient survival by analyzing heterogeneous clinical documents. Unlike traditional methods
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and offers the JD (Juris Doctor) degree, LLM (Master of Laws) degrees, and the SJD (Doctor of Laws) degree, as well as several dual degree programs. The UConn Law faculty includes leading scholars
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transformers (ViTs), multimodal CLIP models, contrastive learning, natural language processing (NLP), attention mechanisms, variational autoencoders (VAEs), large language models (LLMs), k-nearest neighbours (k
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of the appointment; current ABDs are welcome to apply. Applicants’ degree must be in Criminology, Criminal Justice, or a closely related social science discipline. Applicants with only a law degree (JD, LLM, SJD) will
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autoencoders (VAEs), large language models (LLMs), k-nearest neighbours (k-NN), support vector classifier (SVC), random forest, k-means clustering and principal component analysis (PCA). Use of software version
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
foundations of augmentations for digital pathology Potentially developing multi-scale AI models for cancer patient stratification combining LLMs, molecular measurements, and multi-scale imaging. Your profile
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transportation through STA buses. For additional information regarding insurance benefits please see our Benefits page: https://inside.ewu.edu/hr/benefits-briefing/benefits/insurance/ Applications will be
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(i.e. machine learning, neural nets, LLMs). Prepare results and design figures for reports and presentations. Manage and manipulate data using requested languages, including Python, R, MATLAB, and STATA