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, Geijeret al., Nature Cell Biology, 2021, Tresiniet al. Nature, 2015, Schwertman et al. Nature Genetics, 2012, van Sluis et al., Nature Cell Biology 2024, Ramadhin et al., Molecular Cell 2024). Surprisingly
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computation. This project addresses the challenge of developing model-based control strategies tailored to soft bodies, capable of exploiting their compliant nature. The PhD candidate will focus
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European research consortia. You will present your findings to clients and publish your results in (applied) scientific journals. Additionally, you will contribute to or lead acquisition processes. Within
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in the English Language. More information can be found here. The preferred starting date of the position is the 1st of November. You will work here You will be embedded in the EMBRACER network of PhDs
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nature. The PhD candidate will focus on the theoretical and algorithmic development of control methods that combine physical modeling and real-time computation. The work will involve deriving reduced-order
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you enjoy working at the interface between behaviour, ecology, and evolution? Then you might be the PhD
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Your job Do you enjoy working at the interface between behaviour, ecology, and evolution? Then you might be the PhD candidate we are looking for! In this project, you will investigate how swarming
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advantage. Excellent communication – You are fluent in English, both written and spoken, and enjoy working in a collaborative, multidisciplinary team. What we offer As PhD Candidate: cognitive computational
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to regenerative agriculture, including biological indicators that are often neglected in soil health monitoring programs. You will be part of a team of PhDs focusing on modeling soil processes at different scales
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focused around four themes: Language and communication Perception, action and decision-making Development and lifelong plasticity Natural computing & neurotechnology Excellent, state-of-the-art research