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inductive biases, we aim to identify key mechanisms that drive rapid learning in the visual system. The goal is to create a robust mechanistic neural network model of the visual system that not only mimics
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infrastructure data, and building visual tools to support the interpretation and communication of results. The work has a strong foundation in systems and network research, with an emphasis on DNS protocol
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for molecular system. Recently, we reported a major breakthrough in using chemical reaction networks for so-called in chemico reservoir computing (Nature, 2024, 631, 549–555). This work demonstrated that self
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of Groningen has joined forces with other top universities and networks worldwide to become a truly global centre of knowledge. The position will be embedded in the Groningen Research Institute of Pharmacy (GRIP
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. The University of Groningen is an international centre of knowledge: It belongs to the best research universities in Europe and is allied with prestigious partner universities and networks worldwide. The Faculty
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your professional network. You will also have opportunities to present your work at leading conferences, engage in international collaborations, and develop a strong professional profile in computational
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international networks that are useful for this position; Article 9 certified (legal qualified to perform animal experiments) is a plus; Experience in analytical chemistry, ISO17025, statistics and data analysis
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why your future colleagues enjoy working at WUR. We will recruit for the vacancy ourselves, so no employment agencies please. However, sharing in your network is appreciated.
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? Then consider advancing these theories with us. In this project, we aim to extend the powerful tools of statistical mechanics on graph and network models to broader applications in soft and active
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motivation to gain experience in) quantitative methods and statistical analysis; excellent analytical proficiency and conceptual understanding; strong communication, presentation, collaboration, networking and