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of discovery and translation within a well-resourced and internationally connected research environment. The PI is a Scholar of the FENS-Kavli Network of Excellence, and the lab is embedded in the Novo Nordisk
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the candidate's background and interests, ensuring a collaborative and engaging research experience. We seek candidates who have completed a PhD in ecological statistics or environmental economics or a related
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. The focus is specifically on ARC-AGI-3 , where systems must learn rules by interacting with their environment. The research will build on our IJCAI 2025 paper , where we showed that an off-the-shelf ILP
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, experimental infrastructure, and a vibrant international research community, offering a highly collaborative and scientifically stimulating working environment. Main tasks and responsibilities The postdoctoral
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and genomics as approaches to study the cambial cells in the model species Arabidopsis thaliana, and recently also in hybrid aspen and in silver birch. We are seeking postdoctoral researcher(s) and PhD
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Biology At the postdoctoral level, the candidate should have a PhD degree in appropriate biological or medical subject. The PhD degree must have been obtained no more than three years prior
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to the candidate’s strengths and may combine molecular, ecological, quantitative, and experimental approaches. Collaborative environment The postdoc will join a lively international network. There are active
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with optogenetic and chemogenetic tools, local genetic manipulation, histological analysis and behavioural tests. We provide an international, inspiring and supportive research environment with excellent
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candidate will play an important role in building a collaborative, supportive, and scientifically rigorous research environment within the group. About you • You have a strong background in structural biology
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experimental approaches. Collaborative environment The postdoc will join a lively international network. There are active opportunities for collaboration with several leading groups working on colour evolution