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for environmental sampling, molecular biology, and statistics. Strong communication skills, enthusiasm, and creativity are essential for fitting in with our collaborative and dynamic research team and our external
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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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sea ice melting along these paths; performing numerical model simulations to explore how changes in winds, ocean temperatures, and other factors affect sea ice in the present and future. You will be
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as PhD candidate or postdoc and advance knowledge in social policy and public health. Job description Social policy decisions are often informed by short-term outcomes. This results in ‘firefighting
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fluid and atmospheric dynamics while developing simulation technologies. Our aim is to create innovative simulation strategies enabling simulations with unparalleled detail. Join us in advancing the
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densification model forced by high resolution output from the regional climate model RACMO to simulate the evolution of the Larsen C firn layer in the recent past (1950 to present) and into the future (up to 2100
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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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, your application should include (PDF format): A letter of motivation (max. 1 page) A detailed curriculum vitae. Please include an overview of your experience with molecular dynamics, density-functional
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, with an emphasis on molecular switches and motors, dynamic molecular systems, responsive materials, photopharmacology and biohybrid systems. The group also develops novel stereoselective synthesis
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and computational modelling in a dynamic and interdisciplinary setting. Your job Do you want to be part of the development of resilient crops that can continue to feed the world when faced with climate