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other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases
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. This role is ideally suited to a researcher with experience in computational structural biology, glycobiology, or protein modelling, who is interested in applying AI-enabled structural prediction and glycan
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successful candidate will dedicate their efforts to the following specific research objectives: 1) Developing models for predicting the thermal runaway (TR), venting, and jet fire in a single cell with
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holder will develop and implement mechanistic models to analyse and predict the behaviour of pharmaceutical processes. Your work will address key challenges within these processes, constructing robust
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laser experimentation to study and control complex nonlinear dynamics. Key Responsibilities: Develop and implement Physics-Informed Neural Network (PINN) models to simulate, predict, and analyze complex
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contribute to the development of next-generation modelling frameworks that combine physics-based hydrodynamic modelling with artificial intelligence (AI) and data-driven methods to better predict contaminant
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thermal prediction across geometries, materials, and scales. Contribute to the development of generative modeling frameworks for structural design of thermal management systems. Support experimental
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and PhycoCosm. You will configure, execute, and troubleshoot customized annotation workflows, as well as analyze predicted genes and annotations. This position involves leveraging and advancing existing
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models and predictive tools to improve battery performance, lifetime and safety. RaRR is a new project commenced in WMG in October 2025, funded by EPSRC and HVMC, with a focus on second-life battery
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in clinical prediction modeling, UBC Faculty of Pharmaceutical Sciences SUMMARY Respiratory Evaluation Sciences Program (RESP ) is looking for a highly motivated post-doctoral research fellow in