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description The project focuses on studying the evolution of evolvability using computational simulations. Evidence from evolutionary developmental biology suggests that evolvability can change rapidly in
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Documented proficiency in Next-Generation sequencing analyses Documented experience in analysis of Next-generation sequencing data, for example, using high high-performance computing, R and python Strong
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samples from ca 10 individuals of each sex common garden populations of these, and are now extracting these samples. The researcher will work in a collaborative lab performing analyses of gene expression
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence (RAI) (www.ltu.se/robotics ) subject at the department of Computer Science and Electrical and Space
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biotechnology in Northern Sweden. Our mission is to perform excellent and innovative basic research and generate knowledge that benefits forestry, agriculture, environment and society. We work across a wide range
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research activities in stormwater management. The research is both theoretical and experimental with elements of computational technology and mathematical modelling and is based on close collaboration with
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research funding. There will also be collaborations with industry stakeholders and actors in society. The work will be performed in the Lund Migration Group in the division of Evolutionary Ecology and
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acid groups, assessing their purity using NMR, and conducting high resolution LC-MS/MS analysis on them to determine fragmentation patterns for comparison with natural mixtures. Requirements It is a
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drug development with the mission to translate academic discoveries into drug candidates for further commercial development. The operation, which has been in place for ten years, has contributed to 15