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, data analysis and programming, preferably in Python you have knowledge of climate adaptation, infrastructure resilience, decision making under (deep) uncertainty or cost benefit analysis you have
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. Develop uncertainty quantification methods and explainable and trustworthy AI approaches. Design visualisation to support decision-making by traffic operators and strategic advisors. Collaborate closely
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optimal decision-making. This post-doctoral researcher position is part of TUNED (TUnnelontwerp en engineering voor een geologische eindberging in kleilagen in NEDerland), a 4-year research project bringing
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workshops, combining online, onsite, and hybrid formats to ensure meaningful, face-to-face connection alongside digital reach; Co-organise a conference in spring 2027 (probably in Spain), bringing together
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decision-making, and prosocial behaviour using cross-species approaches. The Social Brain Lab combines human neuroimaging, animal models, causal circuit manipulations, computational modelling, and
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interventional questions automatically will help decision-makers solve complex challenges (i.e., reducing methane emissions or reducing the infection rate during a pandemic). Most machine learning algorithms
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designs. Combining these classes raises issues around recyclability, interfacial adhesion, and mismatched thermal expansion that can induce stresses and affect lifetime performance. We invite a motivated
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into practice, so that end users can make better-informed decisions. For this purpose, PATH2ZERO aims to develop a digital twin. The main goal of this data-driven virtual representation of the inland waterway
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make better-informed decisions. For this purpose, PATH2ZERO aims to develop a digital twin. The main goal of this data-driven virtual representation of the inland waterway transport system is to assess
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people can help make the circular economy part of everyday life. Many consumers want to extend product lifespans but face barriers such as cost, convenience, lack of access or lack of trust. The project