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to the literature screening challenge using machine learning models, like active learning, and, very recently, large language models (LLMs). However, many of these AI-driven solutions emerge from tech companies
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The rapidly evolving field of AI offers promising solutions to the literature screening challenge using machine learning models, like active learning, and, very recently, large language models (LLMs). However
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skills in python; solid knowledge of machine learning (including deep learning) and good background in formal linguistics; high proficiency in academic English; ability to work both as an independent
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the application of rare event techniques to tipping in ESMs. One key goal here is to develop techniques to efficiently determine transition pathways using advanced Machine Learning techniques. Additionally
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learning models for the prediction of spread of antimicrobial resistance. Requirements Specific Requirements You have a PhD degree in the field of bioinformatics or computational sciences. You have
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staff position within a Research Infrastructure? No Offer Description Ready to make a real difference? Are you interested in applying cutting-edge statistical and machine learning techniques to develop
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learning models for the prediction of spread of antimicrobial resistance. Requirements Specific Requirements You have a PhD degree in the field of bioinformatics or computational sciences. You have