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to nanoseconds) to obtain novel insights into the fundamental physics and chemistry of processes in materials. You will work with ultrafast X-ray experiments using synchrotrons and XFELs, with a focus on charge
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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
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successful candidate will possess skills in natural language processing and deep learning. Experience of studying the robustness and generalisability of LLM would be beneficial. This is a full time post (35
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curiosity, self-motivation and proactive approach to research Experience in Cemented Carbide Metallurgy Proficiency in English is required, French, German or Luxemburgish is considered as an asset We offer
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the application process. Please submit your application in English no later than 15th August 2025 under the following link Online application As soon as the selection procedure has finished, all application papers
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with disabilities to apply. Qualified disabled applicants will receive preference in the application process. Please submit your application in English no later than 15th August 2025 under the following
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the following topics: Large Language Models and Multimodal Language Models Generative Networks and Diffusion Models Program Analysis Software Testing Automation The candidate should have critical thinking and
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germplasm data to ensure genetic composition and genetic diversity of bison subspecies. Nature of Work: We are looking for energetic and productive postdoctoral fellow who possesses laboratory skills related
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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funded by the German Center for Infection Research (DZIF), in collaboration with national and international partners, including the Cluster of Excellence RESIST and the Helmholtz Centre for Infection