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timescales, for various climate states and ice sheet geometries. As training data, precipitation fields from the regional climate model RACMO will be used, which is a leading model in this field and developed
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) detection, we will make AI for medical imaging transparent, robust and data-efficient. Position Overview As a postdoctoral researcher, you will forge next-generation explainable medical foundation models. You
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-PDF), data analysis and modelling for partially crystalline material systems Developing lab-based X-ray multimodalities: X-ray diffraction & imaging presentation of scientific results through
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. The goal is to build foundation models capable of learning from richly structured or semi-structured data where traditional graph neural networks may fall short, enabling better representation, inference
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or Postdoctoral position (m/f/d) - Interpretable Machine Learning for Catalytic Reaction Network Discovery. A full-time PhD or Postdoctoral position is available in a collaborative Max Planck research
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coefficient modeling. Experience in integrating modeling with leaching and separation processes for scale-up. Advanced data interpretation using electron diffraction, dendritic growth modeling, and REE behavior
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, instrumentation, modeling, and data science Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field(s) of materials science, physics, computational science, or a related field
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in this kind of environment will result in models too large to be handled and too instable to be solved. Data-driven approaches need to be used in addition to enrich the physics-based models
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level of detail extracted from these experiments. As part of this role, you will work closely with other researchers to translate these experimental results into our numerical models, helping to improve
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We are seeking to appoint a Researcher in Infectious Disease Modelling. You will be an integral part of the Pathogen Dynamics group at Oxford, led by Christophe Fraser, where the team focuses