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PhD Position on Decoding Plant Microbiota–Host Specificity Using AI Faculty: Faculty of Science Department: Department of Biology Hours per week: 36 to 40 Application deadline: 16 June 2025
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: PhD Candidate, Reinforcement Learning for Sustainable Energy This position is embedded
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construct these species-specific mechanistic network models based on both genomic comparisons and machine learning based species-specific module identification. You will integrate these network models
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intelligence, or a related discipline. You have a strong interest in performing foundational algorithmics and machine learning research. You have mature mathematical knowledge and programming skills (e.g
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inventory, a major incentive for the project is the application and adaptation of state-of-the art machine learning codes to deal with redshift distortions, intrinsic (galaxy) biases, survey selection biases
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. Legal systems worldwide—and particularly within the European Union (EU)—are facing urgent challenges in addressing the ethical and societal impacts of AI-driven applications and machine-learning
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that would give you an advantage) Experience in computational modelling (e.g., agent-based Bayesian models, cognitive learning models, machine learning, robotics). Experience in annotation software such as
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of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant for the new green steels compositions, including impurities and tramp elements. These models should enable
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Social and Everyday explainability; application of Machine Learning (such as Reinforcement Learning), Symbolic AI techniques (such as formal systems), or NLP techniques, in Human-AI collaboration; Human
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Vacancies PhD position in Future-proof healthcare through transformation Key takeaways We are looking for a highly motivated, enthusiastic, and curious PhD candidate to join our innovative