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will be part of two closely related Australian Research Council projects (Discovery and Linkage) that are using natural history collections, environmental DNA and ecological models to reconstruct
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; machine learning and data science. Experience with one or more of the following computing skills will be considered an advantage: Natural Language Processing and LLMs; R; Python. Applicants must be fluent
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Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people
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publication list Two educational or professional recommendations. At least one recommendation must be submitted in order for the mentor to view your application. All documents must be in English or include
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learning or natural language processing Knowledge of econometric methods for policy evaluation Experience developing indicators for policy tracking A research agenda in health and climate change
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an advantage: applied microeconometrics and causal inference; machine learning and data science. Experience with one or more of the following computing skills will be considered an advantage: Natural Language
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future development of an ongoing epilepsy research project funded by the UK Epilepsy Research Institute. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on
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communication skills in English (see below) Additional desired qualifications: Experience with the theoretical description of transport processes Skills in advanced computational methods (e.g., C++) Jarli og
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All documents must be in English or include an official English translation. Connect with ORISE...on the GO! Download the new ORISE GO mobile app in the Apple App Store or Google Play Store to help
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Search website Search Language selection Français Topics menu Application process Fellowship overview Eligibility Application guide Information for host institutions Information for referees Equity