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Computational modelling of two-dimensional graphene-based materials School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Natalia Martsinovich Application Deadline
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laboratory processing of root data Assist in ongoing field sampling campaigns Conduct basic data analysis Collaborate with PhD researchers from the modelling and experimental teams to link data and model
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to biologically meaningful outcomes. The successful candidate will contribute to the application, evaluation, and interpretation of AI models on single-cell biological datasets, while keeping downstream translation
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) in the field of model and code development for the transformation and circularity in energy-intensive industries (steel, cement, and plastics) starting as soon as possible. The position is initially
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datasets and use it to power a vision foundation model capable of accelerating discovery across the life sciences. We're seeking a skilled Data Engineer to drive scientific innovation through robust data
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Student (f/m/d) in Quantum Algorithms for Droplet and Bubble Oscillation Dynamics Modelling. Your tasks Development and implementation of numerical and algorithmic methods for the simulation of fluid
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successfully applied to numerous protocols in the literature, providing security proofs or revealing new attacks. However, these formal (or symbolic) models do not allow for the modeling of probabilistic
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work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https://www.ntu.edu.sg/cee We are looking for a Research Associate to join a
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https://www.nist.gov/programs-projects/pipeline-safety to learn more about our facilities and current research. Radiation; Metallurgy; Materials science; NDE; Modeling; Fracture; Fatigue; Corrosion
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bioinformatics for immunology research programs. You'll work at the cutting edge of AI-enhanced immunology, applying deep learning, foundation models, and advanced machine learning approaches to understand how