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(e.g., electrophysiology), as well as optimally leveraging integration with existing genomics datasets. The role is focused on computational analysis and supporting model development as part of a
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perturbations (ex: shRNA, CRISPR, cDNA screens) in experimental model systems (e.g. organoid & cell line models). We also apply a bottom-up approach where we employ cutting edge methods to dissect novel model
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synthetic data generation using NVIDIA Isaac Sim, and learning-based policy development for manipulation and locomotion tasks. The role will involve both experimental robotics work and AI model
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advantageous. 3. Familiarity with the following areas is advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX
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projects as the number of case studies and incoming datasets continues to grow. Key Responsibilities: Design and develop a GUI tool to make model inputs/outputs accessible to end-users Collaborate with
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, energy transfer, thermochemical nonequilibrium, and coupled fluid-dynamic processes. Evaluate model predictions against experimental measurements and identify limitations, sources of uncertainty
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Metallurgy and Materials, you will work to deliver the objectives of an Leverhulme Trust Research Grant “A unified model of electrochemical ion-storage in carbon”. Role Summary The role involves: Working
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well as practical experience in dynamic model development and the analysis of large-scale biological data, who are excited to apply rigorous computational modelling approaches to real biological and
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as possible thereafter. The project Cardiac fibrosis is a major driver of heart failure and a common endpoint of many forms of cardiac injury and disease. This project will use zebrafish as a model
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hazards, and their implications for climate risk assessment and societal resilience. The team uses integrated observations, reanalysis datasets, climate model simulations, artificial intelligence, and