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autophagy through an evolutionary lens, we uncover molecular innovations that can be harnessed to improve crop performance in sustainable and climate-smart agriculture (PMID: 29365132 ). We are seeking a
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is interested in fundamental research at the intersections between microbial genetics and evolutionary ecology. About the position Biocontrol is seen as a cornerstone of sustainable plant protection
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fitness, has diversified across eukaryotes (PMID: 39757240). By examining autophagy through an evolutionary lens, we uncover molecular innovations that can be harnessed to improve crop performance in
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interdisciplinary research on knowledge extraction from social data. Project description The project is in the emerging area of fair social network analysis. In today’s algorithmically-infused society, data about our
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of the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund University. The research group, which is headed by Jakob Nordström , is also active
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of novel neuro-inspired algorithms and their hardware realizations that can make future intelligent systems far more efficient and powerful. Today’s intelligent systems rely on massive datasets and large
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Our research group studies the ecological and evolutionary drivers of floral
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Description of the workplace The PhD student will be working in the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund University
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descriptors of spatial distribution in the field of materials science (e.g., Voronoi tessellations, particle-particle distances, etc.)? What are appropriate algorithms for efficient quantification of spatial
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. Additional requirements: A completed PhD in evolutionary in Astrophysics and Space Science, or a closely related field relevant to the position. Strong proficiency in quantitative methods and statistics