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Field
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applications Programming experience in a compiled language (e.g. C, C++, Rust) Application Procedure Informal enquiries are encouraged and should be addressed to Prof Paul Goulart (paul.goulart@eng.ox.ac.uk
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empirical and remotely sensed data Compilation of data for running a simulation model, model evaluation against independent data sources Assessment of future forest development under different management
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development and marine management. Your primary tasks will be to: Compile and harmonize data from multiple sources (e.g., EMODnet, Copernicus, fisheries surveys, citizen science). Engage with data managers and
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results, and places them in a scientific context. You will present and discuss your research with other scientists both within and outside the group. You will be actively involved in the compilation and
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functioning [1]. Building on these insights, you will compile and standardise datasets of collective movement and collect new data from multiple species of freshwater fish. From these data, you will identify
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and climate resilience. In this project, we will compile, clean, and publish open-access demand records from across South Asia, spanning India, Bangladesh, Nepal, Sri Lanka, Singapore, Myanmar, and
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at Utrecht University; examining literature on the topic, reporting results in scientific articles for international journals (which will be compiled into an academic dissertation); presenting at (inter
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management knowledge into relevant research designs; developing research questions; applying appropriate econometric and qualitative analytical tools; writing scientific manuscripts and compile a Ph.D. thesis
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) out to 2050. Tasks include compiling big-data inputs, developing CNOSSOS-EU compliant simulations, validating predictions with field/lab measurements and mapping future hot-spots. Ideal profile: honours
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at 23:59 hours local Danish time The position is funded by the German Research Foundation (DFG), project “Abstract Techniques for Programming Languages and Secure Compilation”. The project builds