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is a science and creative hub that utilizes bird-borne tracking technology to generate and analyze vast datasets related to ecological change. By combining data from transmitters, loggers, and other
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firm. Qualifications We’re looking for highly analytical people (math, physics, computer science, statistics, electrical engineering, etc.) who want to help build the research-driven trading firm of
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. You will work here The project is a part of Open Technology grant for our proposal COre-based PYrrolizydine alkaloid synthesis for Contaminant Annotation and Tracking ( COPY-CAT ). The research is
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PhD thesis within the next three years is to be expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of Science and
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within the next three years is to be expected. A university PhD training programme is part of the agreement and the candidate will be enrolled in the Graduate School of Science and Engineering. The
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The PhD position is embedded in the research programme of Economics, Econometrics & Finance of FEB’s Research Institute. The project will be supervised by dr. J.A.M. de Grefte, prof. dr. B.P. de Bruin and
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Employment 1.0 FTE Gross monthly salary € 2,901 - € 3,707 Required background Research University Degree Organizational unit Faculty of Science Application deadline 30 August 2025 Apply now Would
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PhD position within the project "What's wrong? Ancient corrections in Greek papyri from Egypt" (AnCo
regular meetings of the project research group; You will participate in the training programme of the LUCAS Institute, the Leiden Graduate School of Humanities, the National Research School in Classical
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you enjoy working on interdisciplinary research that bridges energy modelling with climate science, hydrology, risk analysis, and integrated assessment? Join us as a PhD candidate. Your job The rapid
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) Proven affinity with the application of statistical methods for data analysis of spatial and temporal datasets in the domain of agronomy, ecology and environmental sciences Proven affinity with modeling