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models. Requirements The successful applicants will have: A solid computational background, an interest in cognitive neuroscience a and strong deep learning programming skills. Ability to work in an
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publications, and assisting in organizing and presenting at workshops and conferences; Take relevant courses and training; Participate in the PhD program activities and the intellectual life of the Institute
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of the model plantArabidopsis thaliana. At a later stage: extend the models to three dimensions in close collaboration with a postdoc in computational science in our team. Selection Criteria Master’s degree in
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: PhD Candidate in AI for Network Analysis (1.0 FTE, 4 years) About this position
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monitoring of settlement plates on landers. Integrate empirical data into conceptual models; Publish research findings in peer-reviewed journals and present them at national and international conferences
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develop numerous research skills, by enrolling, for example, in the graduate training programme of the Netherlands Graduate Research School of Science, Technology, and Modern Culture (WTMC). You will also
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. However, current estimates of methane emissions from inland waters to the atmosphere are highly uncertain because of limitations in long-term observational data and modelling methodology. In this four-year
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), we aim to close this gap, by developing AI models and tools for tabular data, to help organizations, of any size, domain, and level of data literacy, get insights from structured data, efficiently
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analysis systems, to ensure safe and trustworthy results. This can involve research questions from NLP and AI like model robustness and guardrails, human-computer interaction such as interpretability and
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this challenge by developing mechanistic computational models. You will apply these models to recapitulate key aspects of intestinal development in the nematode Caenorhabditis elegans, which is an excellent model