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Field
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, such as compilers, is an exceedingly complex task that often requires investments of hundreds of millions of dollars. This project aims to explore the extent to which LLMs can be harnessed to assist in
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prerequisite; Experience conducting genome editing (CRISPR), flow cytometry/FACS. Experience with NGS library preparations, including for single-cell transcriptomics. Ability to compile and analyze data using
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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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outlining your interest and experience The responses against the Selection Criteria^ (found in the Position Description) ^For information to help you with compiling short statements to answer the selection
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required. Commercially sensitive research findings relating to our partners will not be published. Collaborate with researchers to compile inspection and repair standards. Develop similar business models to
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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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communication skills and excellent written English skills Evidence of ability to compile and analyse quantitative and qualitative data, prepare reports and present results to summarise main research findings and