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on Please note that you do not need to be able to do all of the following, but preferably at least some of them. Help develop and test the project's web-based problem-solving game, including task design
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these methods across different crops to identify conserved patterns of stress resilience 4. Identify candidate genes associated with key agronomic traits related to resilience 5. Contribute to software and web
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background in web-based software development. Knowledge of data analytics techniques and tools, including machine learning and data visualization. Excellent communication and interpersonal skills with
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teaching and funding experience. Also, a research plan and a teaching plan/statement (length of 2–3 pages each, including your planned future teaching and research directions) are required. Please provide
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and experiments with modelling of these experiments. As part of this, we have developed new algorithms and a completely new web-based platform – EasyNMR - for performing such modelling/simulations. With
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Machine and Deep Learning – Applications and Case Studies in Business AI Agents and Agentic Workflows in Business Explainable AI (XAI) E-commerce, Web and Social Media Analytics Big data analytics Natural
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data integration and analysis Integrate phylogenomic and functional data using machine-learning approaches for candidate gene prioritisation Contribute to software and web-tool development Present