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explainability methods into LLM-based pipelines Develop and evaluate prompt engineering strategies (zero-shot, few-shot) Support experimental setup, data generation, and evaluation of model behavior Write, test
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-driven frameworks for multi-scale modeling, multi-objective optimization, and predictive control of complex chemical and biochemical processes. The research will contribute to next-generation smart
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. Data-driven methods (including machine learning) may be used to support and enhance these models. No prior experience in all areas is required — full training provided through the Fusion CDT. You will
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recycling research project that advances sustainable energy and circular economy goals. The role will focus on developing data-driven models and decision tools to improve the efficiency, yield, and cost
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, and supporting the training and optimization of deep learning models in a research-driven setting. Other duties as assigned Adaptability, excellence, and passion are vital qualities within Carnegie
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on developing computational models of human performance limits and decision-making. If you are passionate about data-driven modeling, human behavior, and safe automation, this position at Chalmers University
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letter with your application. Describe a deep learning project you have executed, ideally involving 3D image analysis, inverse problems, or physics-informed modeling. Cryo-EM/ET and computational
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, conduct wind-tunnel-based experimental fluid mechanics studies, support CFD-driven design refinement, and analyse boundary-layer and drag-reduction performance data. The role involves close collaboration
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English PhD in Generative AI and Statistics: Coalescent-inspired diffusion models for discrete data Apply for this job See advertisement Job description Integreat - the Norwegian Centre for Knowledge-driven
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graduate education in more than 80 subjects. At the Department of Clinical Microbiology, Umeå University, we are announcing the position as a Data driven life science doctoral student in Data-driven