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Field
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organisation. The hallmark of research is the combination of organismic, evolutionary, and molecular biology utilising a wide array of methods. Neuroscience Neuroscience is one of the most rapidly developing
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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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numerical simulations using a GRMHD-PIC technique, which allows to track VHE ions on the fly. These simulations will be supplemented by cutting-edge analytical methods for injecting particles onto the grid
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have the knowledge and abilities necessary for such endeavours as well as being theoretically and methodically competent in relation to the subjects at hand. Language requirements Candidates must be
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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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engineering, or a related discipline Experience in mathematical modelling and numerical methods for ordinary and partial differential equations Strong interest in working in a cross-disciplinary, collaborative
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, ranging from soft matter to biology to synthetic chemistry. The laboratory benefits from numerous academic and industrial partnerships in France and worldwide. Its openness, recognition, and state
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symposium Advanced methods and specialised training Transferable skills and career development Other curricular activities including an IMPRS-ML retreat In addition to the curricular activities organised by
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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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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