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actions needed to generate creative ideas and to turn these into attractive new products, services, and business models. The Innovation Management group at RSM is a team composed of several ambitious
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financial well-being both now and in the future Extensive options for secondary employment conditions: You can explore options such as sabbaticals, paid parental leave, and the individual choices model, which
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responsibility, with particular attention to the emergence and evolution of framing patterns, including the application of large language models; Examine the role of framing in health advocacy (e.g., by health
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adsorbent materials with the goal of understanding performance and adsorption mechanisms for the target pollutants. Explore laboratory data using statistics and adsorption models to understand underlying
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). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing provably powerful learning models for graphs will
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) assessment. You have affinity with, or experience in, advanced statistical analyses (including linear mixed-effects models and computational learning models) in R or similar statistical analysis tools. You are
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Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University . About us A better future for
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teams to explore the long-term effects of repetitive traumatic brain injury (rTBI) in both humans and mouse models. Join us! This PhD position offers you the opportunity to work at the crossroads
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training data, when these are available, and also to learn from real-time, potentially non-IID, streaming data; should be able to track the evolution of key features and achieve model plasticity while
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Na+ transport, interfacial phenomena, and performance degradation induced by e.g. salt accumulation or Al deposition. By leveraging your experimental data with the modelling approach