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Field
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genomics, multi-omics, and artificial intelligence to predict and prevent disease trajectories through precision medicines tailored to the right patient at the right time. Our vision is to create digital
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the Artificial Intelligence and Computer Science Institute in the Faculty of Science of Leiden University. We offer courses at the Bachelor and Master of Science level in Artificial Intelligence
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, artificial intelligence, computational biology, bioinformatics, computer science or a closely related field; strong hands-on experience with deep learning and modern representation learning, preferably
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. The applicant should be holder of a PhD in artificial intelligence/machine learning and possess excellent background in agentic systems, large language models and/or continual learning besides analytical
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to explore opportunities for and develop a medium-term plan for using artificial intelligence tools to support research administration, strategy, and development. The candidate will work with stakeholders
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/login.aspx Requirements Research FieldCultural studiesEducation LevelPhD or equivalent Specific Requirements Candidate profile Education: PhD degree in biomedical engineering, computer science, artificial
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epidemiologic research methods with RWD and modern technologies, like artificial intelligence and natural language processing, for impactful cancer research. Exciting opportunities also exist to work with faculty
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teaching centers, working in the fields of materials and civil engineering (C2MA), the environment and risk (CREER), and artificial intelligence and industrial and digital engineering (CERIS). It has 12
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, and physical systems. The successful candidate will contribute to cutting-edge research at the intersection of artificial intelligence, computational science, and engineering. Current Research
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compliance (5%). •Conduct research on artificial intelligence (AI) and machine learning (ML) to analyze large-scale biological, genomic, metabolomic, and phenotypic dataset (25%). •Investigate the genetic