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. Richard Ott , the group investigates the evolution of erosional landscapes and the use of geomorphic archives to reconstruct and predict past and future landscape dynamics. As a growing research group, it
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at the intersection of reinforcement learning and stochastic optimization. The objective is to contribute to the development of novel methodologies that advance both theoretical understanding and practical application
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on behavioural data. In addition to research, you will contribute to teaching (20%), providing opportunities for professional development. Your qualities We are looking for an enthusiastic new colleague who meets
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campus university of the Netherlands. We have a strong focus on personal development and hardworking researchers are given scope for carrying out groundbreaking research. We are an equal opportunity
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80 support employees. www.amolf.nl The Learning Machines group at AMOLF, led by Menachem (Nachi) Stern, focuses on the development of fundamental understanding and theories regarding learning, from a
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bachelor’s and master’s degrees, Professional Learning & Development programmes, and interdisciplinary research themes – including Emerging Technologies & Societal Transformations, Resilience, Smart Industry
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processes affecting security and preparedness in the European Union and further development of the Common Security and Defense policy (CSDP). What you will do The successful candidate will conduct research
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together with colleagues and industry partners on the development of new quantitative genetics theory and methodology. You also possess: A PhD in a relevant quantitative field (e.g. Animal or Plant breeding
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. The aim is to contribute to the development of ethical methods that are adequate to the challenges posed by socially disruptive technologies. The postdoc will be part of the ESDiT research line on New
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. You will also contribute to the project’s theoretical development. In addition to empirical fieldwork, you will contribute to conceptual publications and may co-author theoretical papers with the PI and