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the ecological conditions under which compositionality and dishonest signalling emerge in novel communication systems, using state-of-the-art swarm robotics models. Since there are no archaeological records
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Sciences. Through our bachelor’s and master’s degrees, Professional Learning & Development programmes, and interdisciplinary research themes – including Emerging Technologies & Societal Transformations
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chemical reaction networks with robotic systems and analytical science. You will also learn how to programme robotic systems and how to implement aspects of deep learning and neural networks for reservoir
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-method approach, combining quantitative and qualitative research techniques. It will draw upon the Dutch Femicide Monitor, including data from law enforcement, public prosecutor, courts and the media
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, ultimately, predictable by machine learning. Specifically, you will build a first-in-class framework to expedite the design of high-affinity binders that engage with therapeutic targets or efficient (bio
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University. Requirements A master’s degree in (applied) mathematics (or related), with a strong background in computational methods, preferably also using computational frameworks for machine learning in
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you like to learn more about what it is like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Profile You hold an MA or Research MA degree in Linguistics
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., machine learning, stochastic dynamic programming, simulation). Affinity with (food) supply chain management is preferred. To collaborate with and to co-supervise MSc thesis students and internship students
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guidelines and advice. Possesses good organisational skills and perseverance. Demonstrates competencies such as conceptual ability, presentation, planning, and monitoring progress. Our working conditions are
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practices on various landscape aspects and conversely the conditions of the landscape for successful regenerative farming. Landscape aspects include soil health, natural elements, biodiversity and water