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chemistry and machine learning approaches to investigate innovative catalytic systems, with a focus on biomass-related areas Optimization of homogeneous and heterogeneous catalytic processes using high
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PhD Positions Application Deadline 24 May 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the job funded through the EU Research
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research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post focuses on bridging theory and applications of the Learning-to-Defer (L2D) framework, building on recent
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learning, probabilistic decision making) For your application, please submit: a brief motivation letter (max 1 page) your CV (including a list of publications, if available) transcript of records PhD
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12th May 2026 Languages English English English Three PhD Research Fellows in Mathematics Education Apply for this job See advertisement About the positions Up to three 100% positions as PhD
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on integrating machine learning with natural language understanding, including large language models, and maintains strong links to real-world applications in education, healthcare, and beyond. About the role
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: PhD in Computer Science, Cybersecurity, Artificial Intelligence or related fields Strong background in AI/ML, particularly in interpretable AI, generative models, reinforcement learning or agent-based
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of the research group including project students and PhD students. The post holder will hold or is close to completion of a relevant PhD/DPhil, together with relevant experience, in the area of probability
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optimisation before physical manufacturing begins. This project aims to develop advanced deep learning models capable of predicting fabrication outcomes and guiding fabrication recipe optimisation. By learning
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, ensuring the preservation of geometric and topological properties. Conduct a literature review on representation learning (SSL, Geometric DL) applied to the sciences. Develop and implement tokenization