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segmentation models, utilize Diffusion Models for synthetic data augmentation, and integrate Vision-Language Models (VLMs) for automated QA report generation. You will work closely with industrial partners
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Project and Research Environment Large Language Models (LLMs) are increasingly used in legal question-answer contexts. It is now well known that answers may contain noise, for example, in the form of so
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phase change materials used in photonic devices, using synchrotron X rays and X ray free electron lasers (XFEL). Optical phase change materials can be reversibly switched between amorphous and crystalline
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analysis, while other competence areas include e.g. causal inference, latent variable modelling and prediction models. The section aims to maintain a strong position in these areas but also wants to expand
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invites expressions of interest for a 3-year postdoctoral fellowship in near-horizon black hole science. Interested individuals are encouraged to submit all material before February 11, 2026, but the search
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physiological and molecular responses and will feed into the project's design-test-model cycle. The position will also strengthen the unit's capacity in plant cultivation under controlled and sterile conditions
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of Southern Denmark (SDU), invites applications for one or more postdoc or research assistant positions, where the candidates will work on the sensing, modeling and control of soft/continuum robotics with
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on the candidate’s profile and interests, the position may also involve primary data collection, including extraction of medical chart data using natural language models and surveys of stakeholders within child and
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analysis skills; advanced proficiency in Stata, R, or comparable statistical software; the ability to specify, evaluate, interpret, document, and justify statistical models; strong academic writing skills
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the last decades: shaming, where elites publicly brand opponents as norm violators and threats to the moral fabric of society, and shamelessness, where elites reassure their supporters that stigmatized