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research team, you will collaborate with other PhD candidates, postdocs, senior researchers from various Dutch universities, and in particular with the communication team of Ombion CPBT. Throughout this PhD
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simulation techniques based on finite element and multibody dynamics formulations. Your tasks involve developing new elements tailored to the multi-physical effects seen in high-performance mechatronics
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modelling of materials and machine learning. Experience in atomistic modelling (molecular dynamics, density functional theory) and machine learning is important, as well as a strong interest in pursuing
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, you will focus on that. Your job In this PhD project, you will be part of a large consortium of six PhD candidates and three postdocs. Together, we aim to understand the working of storm surge barriers
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specifically removes DNA damage thereby safeguarding transcription. Our lab has identified several important factors that provided novel insights in this repair pathway (van Toorn et al., Molecular Cell, 2022
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, molecular biologists, and embryologists; co-supervising BSc and MSc students during their internships. Teaching opportunities will be also available. You will be part of the Utrecht Graduate School of Life
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advanced operational strategies, such as model-predictive control, tailored to dynamic prosumer energy demand. Foster collaboration: Work closely with industrial and research partners, including CENAERO
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for this position) Experience with programming languages (e.g., Python, MATLAB) and simulation software Excellent academic a dynamic, creative and pioneering professional attitude with a willingness to
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dynamic and innovative university offering high-quality teaching and research. Its 34,000 students are encouraged to develop their own individual talents through challenging study- and career paths
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for this position) Experience with programming languages (e.g., Python, MATLAB) and simulation software Excellent academic a dynamic, creative and pioneering professional attitude with a willingness to