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models (e.g. NLP‑based classification, embeddings, or tree‑based models) within agreed project scope and under direction. Work with structured and geospatial datasets, including maintaining and querying
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written by humans and large language models. Months 5-6. Development of green algorithms for syntactic analysis of natural language using HPSG grammars Where to apply Website https://sede.udc.gal/services
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programming skills Strong background in NLP, with completion of relevant graduate-level coursework Experience working with transformer-based models Familiarity with prompt writing, LLM fine-tuning concepts, and
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, model training, validation, deployment, and monitoring in production. Natural Language Processing: Advanced knowledge of NLP techniques and large language models (LLMs), including prompt engineering
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politics, using, among others: Econometrics, field and survey experiments, and quasi-experimental causal inference methods, Natural language processing (NLP), and Comparative case studies As part of the ERC
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or a related field AI expertise Experience with or strong interest in AI methods and computational modelling Affinity with one or more AI domains such as machine learning, computer vision, NLP, LLMs
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, computer vision, NLP, etc.) Work with structured and unstructured datasets; perform data preprocessing, analysis, and validation Collaborate with clinicians, scientists, engineers, and project teams
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providing technical input for international and national proposals. Participate in training activities, workshops, and the CoE’s AI capacity development. Where to apply Website https://karjera.ktu.edu/en-GB
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for reproducibility, transparency, and knowledge sharing across the team. Where to apply Website https://karjera.ktu.edu/en-GB/jobs/7227605-project-expert-performing-as-senior-… Requirements Research
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, natural language processing (NLP) and machine learning Connected and autonomous vehicles Disaster and natural Hazard assessment and management Discrete element method (DEM) and finite element methods (FEM