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measurements, to thoroughly analyse data, to use and/or develop models and to publish in international peer-reviewed journals. Skills in data handling, modelling, databases and also experience in computer
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, climate sciences, mathematics, or geo-information science or a similar relevant field, and are you proficient in programming with R/Python? Then we have the perfect opportunity for you! The Team
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Computer Science (LIACS), the Leiden Institute for Chemistry (LIC), and the Leiden Mathematical Institute (MI) at the Leiden University. Key responsibilities Conducting research on applications of (interpretable
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of application. Proof of English proficiency About the department The PhD student will join CAES, a group working on the most efficient and effective computer architectures of the future, from large-scale data
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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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development and regeneration (1.0 FTE) Description of the project The opening is for a research position within the field of mathematical or theoretical biology, computational physics, applied mathematics
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, complex networks, statistics, systems theory, computational science, and artificial intelligence with applications in health care, energy systems, traffic, and imaging. Please click the following links
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the modelling and prediction of the dynamic interaction between proteins and small-molecule ligands, such as hormones, neurotransmitters, or therapeutic drugs. The computational representation
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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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, Mathematics and Computer Science (EEMCS). We work on next-generation power electronics, energy systems for smart grids, advanced battery electronics and management, power devices, power and energy measurements