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Field
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understand, explain and advance society and environment we live in. Your role Conduct research and prepare a doctoral thesis in metabolic network modelling and computational epigenomics Develop novel methods
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the application of machine learning for official statistics. The subject of the thesis will be "Exploring Large Language Models for Data-to-Text Problems" and involves the study of technical methods and approaches
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. A unique urban site with excellent infrastructure A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic
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understandable explanations from machine learning models. We will achieve this together by creating the first mathematical framework for explainable AI and developing new explanation methods. This will involve
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microscopy methods is an advantage. Interest and/or experience in working at the interface between wet and dry lab is a plus. Interest in working independently on scientific questions. Organizational skills, a
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interdisciplinary and work in collaborative teams, e.g. (but not limited to) molecular biology-clinical, bioinformatics-biology Knowledge of basic microscopy and flow cytometry methods Experience with cell culture
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for data augmentation, small language models, anomaly detection using learning methods, and explainability techniques for decision-making. The research will involve designing and developing prototypes
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, but current methods are not always efficient or optimal. The process lacks an intelligent, informed approach to selecting the best grinding parameters, which can lead to inefficient maintenance actions
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methods. This will involve using tools from mathematical machine learning theory to prove mathematical guarantees about the performance of such new explanation methods, as well as programming to test out
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collecting the samples, you will perform lab analyses to determine the total elemental composition and elemental speciation of various chemical compounds using ICP-MS based methods, as well as other chemical