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Field
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evaluate large language models (LLMs) assisted methods for extracting, organising and assessing complex scientific information related to materials. The initial application will be phase diagrams and related
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20th September 2026 Languages English English English The Department of Materials Science and Engieering has a vacancy for a PhD Candidate in large language models(LLMs) for data extraction and
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Background information about the project: Our team recently won the Metascience Novelty Indicator Challenge . We have been developing a method that uses Large Language Models (LLMs) to analyze
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD-Position - Novelty Assessment of Science and Patents with LLMs The research focus of the Institute of Climate and Energy
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is recommended, especially in the area of mobile app analysis and JavaScript code analysis. [Optional] Experience in LLMs. [Optional] Experience in web crawling and JavaScript analysis. [Optional
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We have several PhD opportunities available in areas such as Multimodal Large Language Models (MLLM) for human understanding, MLLM safety, and Generative AI. If you have published in top-tier conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, etc.), you will have a strong chance of receiving a full...
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CSIRO Industry (iPhD) Scholarship - Advancing Medical Diagnosis with Multimodal LLM and Agnostic AI Agents This project investigates the use of agnostic AI and multimodal LLMs to improve medical
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04.08.2026, Academic staff Fully funded PhD position (TV-L E13) at the Technical University of Munich (TUM) in Generative AI for Automotive Software Engineering. The project focuses on LLMs, VLMs
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to build a strong academic or industry career. Objectives This project develops and evaluates modular, adaptive LLM architectures that allocate capacity according to linguistic complexity rather than corpus
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and sustainability; Investigate and apply artificial intelligence and machine learning techniques, including large language models (LLMs), across CENSE’s scientific body in its five thematic areas