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The candidate based at CWI will have either a computer science or mathematics background, with a strong affinity for energy systems modeling, or an [electrical] engineering background, but with
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systems modeling, or an [electrical] engineering background, but with an interest (or prior experience) in computational intelligence, AI and/or agent-based modeling techniques. He or she will work closely
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–specific ways, and their downstream biological effects remain poorly understood. This project tackles this fundamental gap — by building computational models that simulate what goes wrong in the brain, one
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that infect bacteria, can hitchhike along with nematodes to overcome spatial barriers in their environment. Our team aims to build a model system to understand these newly discovered nematode-phage interactions
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Job description We are seeking a highly motivated PhD candidate to join our research group in the field of piezoelectric microsystems. The successful candidate will work on the design, modelling
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computational mechanics profile, to work on a challenging micro-mechanical modelling project, in an exciting multidisciplinary team. Information The transition to low-carbon steelmaking will significantly alter
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models. This PhD is ideally suited to a candidate who enjoys hands-on experimental work, working with people, and combining cutting-edge measurement technologies with computational modelling. We
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requirements A Master’s degree in Computer Science, Artificial Intelligence, Electrical Engineering, or related fields. Strong knowledge of machine learning, language models, and security aspects of AI
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specific detection mechanisms for those plants to which they have become adapted, to select suitable plants for feeding or for laying their eggs. We will use the model system of the cabbage white butterflies
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integrate multiple signals during communication (e.g., using insights from psycholinguistics and neuroscience to inform computational models of multimodal language processing- Building AI agents that engage