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Field
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sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental monitoring programs the National Forest Inventory
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of “Research Assistant” for a research project related to statistical learning of time-series models. The successful candidate will work with Hemant Tyagi (NTU Singapore) and Chew Lock Yue (NTU Singapore) in
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applied statistical models, and will be part of a growing conservation technology hub at the department. The Department of Wildlife, Fish, and Environmental Studies offers a creative, stimulating, and
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PhD Candidate on The Future of Mixed Methods Research /Junior Lecturer in Methodology and Statistics
department Methodology and Statistics gives you the opportunity to kickstart an academic career. Your position Research: The Future of Mixed Methods Research is Rigorous, Open, and Scaleable through Automation
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application! We are looking for a PhD student in Statistics with placement at the Division of Statistics and Machine Learning, Department of Computer and Information Science. Your work assignments As a PhD
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planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental
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-Holstein (UKSH), is seeking a PhD student with a strong background in statistics, machine learning (ML)/artificial intelligence (AI), or bioinformatics. Our group develops novel computational and statistical
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Statistics at Umeå School of Business, Economics and Statistics (USBE) is looking for a PhD
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20 Dec 2025 Job Information Organisation/Company KU LEUVEN Research Field Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Country Belgium Application Deadline 16 Feb 2026
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(Institute of Cell Biology ) & Ginsbourger Group (Institute of Mathematical Statistics & Actuarial Science ) We are recruiting a highly motivated PhD student to join a fully collaborative doctoral project