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and at most 17 hours. Be part of change CAE modelling and numerical simulation (e.g. sheet metal forming processes using ABAQUS, etc) Develop data-driven and machine learning-based models to improve
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the field of Machine Elements. The main aim of this PhD student position is to strengthen the newly started research on Triboelectrictive nanogenerator (TENG)-based smart lubrication in Machine Elements
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29 Aug 2026 Job Information Organisation/Company Iwate University Research Field Technology Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline 30 Oct 2026 - 23:59 (UTC) Country Japan Type of Contract Temporary Job Status Not...
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The »High-Performance Cutting « department develops technologies and application-oriented solutions for machining along the entire process chain - from process design and process simulation to real
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is to develop a modeling framework including the use of Random-Walk method to predict NMR measurements, pore-scale finite-element modeling on 3D digital models, generated from CT-images to predict
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and performance prediction; finite-element electromagnetic analysis; and machine topology development, design methods and optimisation. Your experience does not need to be in a particular machine
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The successful candidate will be involved in a computational project to investigate the microscopic properties of guest molecules in nanoporous materials, more specifically, metal-organic frameworks
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integrating transcriptome, chromatin access and transcription factor binding datasets at bulk and single cell resolution with the aim to connect these profiles with the underlying regulatory networks, and
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on model papers using a dedicated micro-tensile machine coupled with 3D real-time in situ observation using synchrotron X-ray microtomography (ESRF). • 3D Image analysis routines will be used to identify
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can lead computational and experimental activities using commercial codes to compare with experiments and also be able to develop new computational models and computer programs. The successful candidate