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will streamline how experts and stakeholders process, interpret and access complex, high‑volume information, and unlock new capabilities in modelling, data integration and knowledge retrieval for current
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Completion or near completion of a PhD in a relevant field. Demonstrated expert knowledge and experience in modelling and control in water and/or wastewater systems, and data science and data analytics methods
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well as collaborating with the other members of the wider project team. To be successful in this position, you will have: PhD qualification in the relevant discipline area, such as computational/theoretical physics
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biological data - particularly genomic, transcriptomic, and phenotypic information - into machine-readable formats to support the development of AI models. Lead the integration of these models into crop
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industry to facilitate and coordinate new research collaboration and initiatives Proficiency in relevant programming, data analysis and modelling tools (e.g., Python, AI/ML, Simulation software – SUMO, Agent
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climate resilience. Working within a world-class research environment, you’ll combine your skills in plant and crop physiology, modelling, phenotyping, data science, and statistics to uncover insights
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computational and theoretical analysis using a range of techniques, as well as collaborating with the other members of the wider project team. To be successful in this position, you will have: PhD qualification
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Observatory of Japan (NAOJ, under JSPS-KAKENHI International Leading Research (ILR) program; 22K21349) co-funded position offers a unique opportunity to work at the intersection of astronomy, optics, and
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Brown. The position will be responsible for drafting data collection tools, coordinating feedback with study partners, co-facilitating the system mapping workshops, descriptive model development and
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the other members of the wider project team. To be successful in this position, you will have: PhD qualification in the relevant discipline area, such as computational/theoretical physics or chemistry, or