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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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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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understanding of the physical processes underlying the luminescence mechanism of the materials. One of the scientific challenges is to understand how generated electron-hole pairs can transfer their energy to
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asynchrony, message delivery delays, and network or process faults. Ensuring the correctness and reliability of source code implementing blockchains and smart contracts is paramount, and this hinges
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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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well as the likelihood of partial discharge initiation. Presence of partial discharges accelerates the aging process even more and results in rapid degradation of insulation systems, which can lead to unexpected short
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of the robot's inspection task. Planning is constrained by the policies that are enforced by a user, while execution is constrained by the physical characteristics of the environment, or terrain, and by