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to come to the results? And, have you ever reflected on whether such results actually match with what you expected to find? These are just two of the questions that process mining analysts ask themselves
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intelligent system operators that guide user behavior toward socially desirable outcomes. By integrating theory with practical applications, the research aims to transform how we navigate cyber-physical systems
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PhD in Intelligent Information & Incentive Design for Cyber-Physical Systems (V24.0341) « Back to the overview Job description A fully funded PhD position is available at the University of Groningen
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Research Group at Eindhoven University of Technology! We are seeking a highly motivated PhD Researcher with a passion for quantitative microscopy and physical chemistry of self-assembling materials to join
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of interacting elastic sheets in shear flow: Insights into buckling, sliding, and reassembly of graphene nanosheets in sheared liquids." Physics of Fluids 34.5 (2022) and has almost 20 years of experience in
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A master’s degree (or an equivalent university degree) in Mechanical Engineering, Applied Mathematics, Physics or similar. A research-oriented attitude, with excellent analytical, numerical, and
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completed MSc degree in Physical Chemistry, Physics, Food Science, Materials Science, Biotechnology, Chemical Engineering; knowledge of (food) proteins, and their functional characteristics; research
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), and forming process modelling. The project aims to integrate ANNs with the finite element method (FEM) to develop an advanced hybrid sub-structuring technique. The primary objective is to use ANNs
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technology encompasses all new technologies that require quantum physics to work [1]. Sensors based on oscillating mechanical systems are an important class of these emerging technologies. They are promising
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the heating phases of microscopic aggregates of thermoplastic cut tapes to accelerate the process development with circular materials. The experimental approach is intended to provide valuable data and insight