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May 2026 Apply now Are algorithms neutral tools, or do they actively shape the world they model? In this PhD, you will bridge the gap between building and critically studying Human-Centred AI systems
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learning algorithms. Personalizing user interactions by building models that adapt explanations to specific knowledge levels and interests of users, so that user modelling and formal reasoning transform
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reinforcement learning Enhancing transparency and contestability of decision-making processes, taking a multimodal approach to reveal the reasoning behind complex AI-driven planning and learning algorithms
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statistical physics, applied probability, and population genetics; develop inference frameworks that link model predictions to genomic and epidemiological data; design controlled computational experiments
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: formulate and analyze stochastic models of evolving populations using methods from statistical physics, applied probability, and population genetics; develop inference frameworks that link model predictions
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the Reproductive Genetics team. Your job Your main tasks will consist of supporting a vibrant clinical programme in all activities related to in vitro production and preservation of horse embryos (oocyte recovery
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of clinical services to horses and companion animals, and both clinical and more fundamental research in the areas of regenerative medicine, locomotion, genetics and reproduction. More information For more
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The project aims to identify the behavioural, neuroendocrine, and (epi)genetic mechanisms of parochialism—how cooperation and conflict emerge within and between primate groups. You will experimentally
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degree in plant biology, bioinformatics, biochemistry, genetics or a related field. Strong bioinformatics skills, preferably in transcriptomic analyses and network inference. Expertise in molecular biology
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Doctoral Network (MSCDN) uniting leading European universities, hospitals, research institutes and industry partners. It trains 15 PhD candidates in an interdisciplinary programme covering genetics