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novel AI methods that make powerful models more transparent, robust, and usable in critical domains such as healthcare and smart industry. You will be part of a large national ‘Perspectief’ program
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( phenoconversion ). Within this project we aim to improve our understanding of the impact and mechanisms of phenoconversion in clinical practice. Moreover, we aim to evaluate how advanced in-vitro models, endogenous
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crucial; Design interventions to reduce bias and improve fairness and safety in human-AI interaction. The research will combine computational modeling (e.g., NLP, machine learning, deep learning) with human
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) with an interest in ecology and evolution Demonstrated experience with mathematical modelling, and an ability to learn new concepts and (computational) methods as needed Affinity with scientific computer
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candidate will gain training in chemical biology, molecular genetics and cell biology, and use physiologically relevant in vitro and in vivo models. The work will be carried out in an interdisciplinary
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public audiences and taking part in a pilot programme where experience can be acquired in high school science teaching. The ideal candidate for this position has a background in physics and is committed