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will use computational models to explore the minimal functional requirements for self-replication to emerge from polymerising molecules. Instead of simulating specific chemistries in full detail, we will
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PhD position - Modelling the emergence of information transfer in prebiotic self-replicating systems
, you will use computational models to explore the minimal functional requirements for self-replication to emerge from polymerising molecules. Instead of simulating specific chemistries in full detail, we
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, analysing the data, developing prognostic and simulation models and writing scientific articles. The PhD position is embedded in the research programme Operations of FEB’s Research Institute, while building
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certificates – see below. Applications should include Letter of motivation (650 words max.) CV Reference letters from at least two academic referees A copy of your bachelor’s and master’s diplomas with a list of
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Reference letters from at least two academic referees A copy of your bachelor’s and master’s diplomas with a list of course grades. If the certificates or transcripts are not in English or Dutch a translation
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English, including: A recent curriculum vitae. A motivation letter of a maximum of two A4 pages. A concise research proposal of max 500 on how you would frame the project. If available, a copy of an article
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access to world-class laboratories like Geolab external link and Earth Simulation Lab external link , and to excellent high-performance computing facilities. We are a lively department that hosts
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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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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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diseases, and how these influence, or are influenced by, labor force participation and income. In addition, you will develop simulation models to predict how different policies could reduce the disease