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on cooperation and governance within such networks. In this PhD-project a variety of empirical methods, such as Delphi studies, case studies and possible design science, will be used that enable an understanding
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on a flat-belt conveyor and are dynamically grasped, unfolded, and oriented by multi-axis manipulators fitted with custom force-feedback grippers, and will work in close concert with a parallel sensing
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Engineering, University of Groningen. The research is aimed at the development of novel methods for nanomedicine characterization and to study their interaction with cells (e.g. uptake, intracellular
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learning, knowledge exchange, and joint knowledge creation. During these stays, 100% of the time of the PhD is dedicated to the research program. As part of NGinfra, the PhD candidate will also have ample
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in thermodynamics, optimization, and control theory. Strong understanding of mathematical modeling, numerical optimization, and/or model predictive control (MPC). Experience working with large-scale
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Organisation Job description PhD position: ML based implementation of constitutive behavior of stainless steel Metal forming is a widely used method to form steel products efficiently in mass
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Organisation Job description PhD position: ML based implementation of constitutive behavior of stainless steel Metal forming is a widely used method to form steel products efficiently in mass
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Computational Linguistics, Argumentation Theory, and Social Network Analysis to (1) investigate how climate misinformation contributes to political polarization and (2) assess whether AI-generated, argumentative
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Applications are invited for a fully-funded four-year PhD position that will explore how rural youth (ages 18–30) use both online and offline methods to make sense of sustainable development and the
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dissecting RNA structure ensembles in living cells. Particularly, you will: Develop novel methods (both wet and computational) for the accurate interrogation of RNA 2D and 3D structures in living cells. Apply