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-world AV–VRU interactions poorly understood. In this PhD role you will focus on employing Virtual Reality technologies to better understand this complex interaction process and explore how external Human
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indicators of embankment condition. To support the interpretation of monitoring data, a physics-based train–track–embankment interaction model will be developed using finite element (FE) and/or multibody
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can count on dedicated support throughout the process. Whether you're formulating your research questions, collecting samples in the field, analyzing data, or publishing your findings, you'll be
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vacancy page. Please upload your CV, motivation letter, academic transcripts, and any additional documents requested during the application process. Reference checks may be part of the selection procedure
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[email protected] . If you would like to know more about the recruiting process or about working at EUR in general, please contact our Corporate Recruiter Natascha Aerts-Hooi at [email protected]
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modelling of industrial conditions. You will analyse how different scrap recipes and loading strategies influence process performance, and investigate the movement and segregation behaviour of scrap. Based
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. The template for the proposal can be found below (under “Application process and contact information”). What are you going to do Analyse how spatial decisions are, or are not, embedded in long-term strategies
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, imaging and process datasets, the project will enable AI to (i) accelerate callus line development through scoring and targeted intervention of friability, (ii) reduce suspension line development timeline
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hold a MSc in electrical engineering, materials science, applied physics or other relevant fields. Prioir experience in cleanroom processing and/or thermal or material analysis is highly recommended. TU
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mechanisms, Sensors and instrumentation, Data analytics, machine learning, or AI, Digital twins or physics-based modeling, wide-bandgap semiconductor technologies. Excellent written and spoken English