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an extrapolation framework that transfers findings from large datasets to low-volume tumour streams. Approach The work combines several strands. A systematic review with LLM-assisted extraction of
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databases, large language model ( LLM ) fine-tuning, MLOps practices, model monitoring, and the deployment of AI solutions in production environments. Experience securing external research funding
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and Agentic AI Research Centre (CIAA) Pattern Recognition/Machine Learning/Deep Learning/Reinforcement Learning, LLM/MLLM, Generative AI, Neural Graphics, Graph Mining, Data Mining, AI agent, Natural
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microbiome, or nutrition are preferred. Experience with AI workflows (e.g., LLM-based tools for research, writing, or analysis) is a plus. A willingness to experiment with and embrace AI-based approaches
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Title https://uscjobs.sc.edu/titles/210226 Job Level M0 - Managerial Business Title (Internal Title) AI Solutions & Innovation Manager Campus Columbia Work County Richland College/Division Division of
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successful candidate will work on can be found on the SPRING project website https://spring-project.eu/doctoral-projects (position reference DC 12). SPRING DN is implemented by an international consortium
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CapMetro buses with staff ID card For more details, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards . This position requires you to
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Postdoctoral researcher (17 months): Ethics and Epistemology of LLMs4EU: Design, Data and Deployment
part of the EU project LLMs4EU - Large Language Models for the European Union. https://www.llms4eu.eu/ Apply now Hi! Are you my new colleague? Henk Pol Hi! Are you my new colleague? Hannie Lensink Hi
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, mobile, LLM -based, AI-enabled, adaptive, or other innovative approaches to health behavior change; · Community-engaged and community-based participatory research; · Supporting priority population
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence-Alpes-Côte d'Azur | France | 4 days ago
(for e.g. unstructured text reports, PDFs with text, scanned images, and ultimately DICOM files) in the context of lung cancer clinical research. The project seeks to build an LLM-based pipeline that