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professionally. Learn more about your project at the Model-Driven Decisions Lab . Job requirements You hold an MSc in computer science, data science, or another relevant subject such as ethics of AI, with
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commissioning at installation, the system will continuously recalibrate itself in response to changing operating conditions. Reinforcement learning is envisaged as the primary methodological vehicle, enabling
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science, electrical engineering, etc.) and you were at the top of your class. Excellent analytical skills and a solid basis in machine learning and/or operational research. You can understand literature in both
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models are increasingly used in plant breeding and crop improvement pipelines. But training such models on private genomic data carries a risk: rather than learning general rules of sequence-function
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applications. Job description Genome sequence models are increasingly used in plant breeding and crop improvement pipelines. But training such models on private genomic data carries a risk: rather than learning
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, behaviours, and contextual factors reinforce each other over time. This idea of harmful attractors has been a central tenet in the field, but direct empirical tests remain scarce. This speaks to crucial
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. Learn more about your project at the Model-Driven Decisions Lab . Job requirements You hold an MSc in computer science, data science, or another relevant subject such as ethics of AI, with practical
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machine learning and/or operational research. You can understand literature in both disciplines. Excellent oral and written communication skills in English proven by a minimum score of 100 in TOEFL or IELTS
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reinforcement learning models with applications to recommendation systems and clinical trials (Gui Liberali), privacy (Gilian Ponte), causal inference (Jason Roos), consumer eye tracking (Ana Martinovici
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supported in learning new techniques and broadening mathematical background. The candidate will have the opportunity to present their work at both national and international conferences and workshops