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well suited include soil science, agronomy, plant or environmental sciences. Experience in areas such as bioinformatics, image analysis, statistics, or modelling applied to plant-soil systems would be
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Vision and Graphics, Statistical Learning, and Bioinformatics. Please visit the website at https://www.polyu.edu.hk/dsai/ for more information about DSAI. Duties The appointee will be required to: (a
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closely related field PhD training covering topics such as computational modelling, numerical methods, statistical analysis, machine learning or data-driven analysis of complex systems Experience 0–3 years
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a modeling approach inspired by statistical physics to describe individual strategies, their interactions, and emergent effects at the group scale. The candidate will contribute to the development and
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. Qualifications Basic qualifications (required at time of application) PhD in Political Science, Economics or a related Social Science OR be enrolled in a PhD program at the time of application. Additional
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projects ranging from machine learning applied to spatiotemporal data for weather nowcasting and forecasting, Earth System Modeling, statistical downscaling, data quality, and anomaly detection
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 14 days ago
different policies on market outcomes, such as EV subsidies, domestic content requirements, trade policies, amongst others. Recent PhD in Economics (or related discipline) with a clear interest in mining and
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) Positions PhD Positions Application Deadline 20 Mar 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Offer Starting Date 1 Mar 2026 Is the job
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. A starting date earlier than fall 2026 is also possible. Applicants must hold a PhD degree in Mathematics, statistics or theoretical computer science. The terms of employment are very competitive and
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in