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the theoretical developments in computation argumentation (CA), information retrieval (IR), and natural language processing (NLP) using recent advances in large language models (LLMs). The candidate is expected
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for these architectures remains a key challenge. This project will explore how reconfigurable/spatial computing devices can be integrated into large-scale heterogeneous infrastructures, which include CPUs, GPUs, DPUs, and
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skills in running large scale NLP models (e.g. BERT, GPT) for financial text analysis. The candidate shall have strong research skills of using LLM-based models for firms financial Information summary
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26 Nov 2025 Job Information Organisation/Company CNRS Department Institut P': Physique et Ingénierie en Matériaux, Mécanique et Énergétique Research Field Engineering Chemistry Physics Researcher
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Large vision–language models (LVLMs) can describe driving scenes and support decisions [Li25], but they sometimes hallucinate objects, relations, or events that are not present [Liu24,Liu25]. In a
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in granular mechanics.PhD position 3# is supported by an Einzelprojekte of the Austrian Science Fund (FWF). The ideal candidate will focus on multiscale modelling of scaly clay failure process in large
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farmers. Its research focuses on areas such as cryo-conservation of genetic material, big data analytics, breeding value estimation, phenotyping of novel traits in various species, and bioinformatics
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manufacturing, health and transportion: Interperability of systems Data Management Big data analytics AI and Machine Learning Experience in the organization of international events such as workshops and
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modeling, or machine learning - Experience with large-scale genomic data analysis (e.g., GWAS, QTL, PRS, or multi-omics integration) Strong programming skills in R or Python; familiarity with Bayesian
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: • A current resume or CV • Names and contact information for at least three (3) professional references Department Summary The Department of Anthropology at the University of Oregon is dedicated