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We are looking for a talented and enthusiastic candidate for a fully funded 4-year PhD position. The PhD candidate for this project will be working at the RNA Structural Ensemble Dynamics group led
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an emphasis on molecular switches and motors, dynamic molecular systems, responsive materials, photopharmacology and biohybrid systems. The group also develops novel stereoselective synthesis methods and
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, the dynamics of habitat use, especially the shift between wetlands and rice fields, the habitat quality, and the influence of anthropogenic activities and climate change, remain poorly understood
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and governments) embrace technological solutions for social problems, there is an urgent need to better understand the social, historical, and organizational dynamics that got us here. Moreover, we need
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dynamics that got us here. Moreover, we need to understand the tensions between journalism’s public values and functions, especially in the Northern European context, and the futures imagined and promised by
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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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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