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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 16 days ago
solutions exploit low-level landmarks (i.e., points or lines), dealing with large-scale and visually ambiguous environments remains highly challenging due to the inherent multiplicity, ambiguity and
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), an expanding team of one postdoctoral researcher (one more joining in Q3), three PhD candidates (two more joining in Q3), multiple visiting researchers with recent publications in methodology development and
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knowledge quarters has positioned cities as key sites for economic growth, technological advancement, and sustainable development. However, these environments are inherently complex, involving multiple
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London School of Economics and Political Science; | London, England | United Kingdom | about 1 month ago
statistical tools (R and/or Python). Develop and conduct optimisation modelling (e.g. electricity market and grid dispatch). Assist in literature reviews and summarising academic research. Contribute to writing
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investigates how whole-genome duplication reshapes genome evolution using comparative pangenomics across multiple natural diploid–polyploid species pairs. The student will analyse a unique dataset of chromosome
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London) has multiple, fully-funded PhD studentships available to accelerate its interdisciplinary research in the humanities, social sciences and digital sciences. Each scholarship is fully-funded
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pangenomics of polyploids Project description This PhD project investigates how whole-genome duplication reshapes genome evolution using comparative pangenomics across multiple natural diploid–polyploid species
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diagnosis is often challenging for patients presenting with vague, non-specific symptoms that may be linked to multiple cancer sites. This project aims to improve diagnostic decision-making in such patients
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allocation, or control optimization). Experience with 3D sensing, perception, computer vision, or sensor fusion. Proficiency in programming languages such as Python, C++, or C#. Experience working with
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(eDNA) approaches for biodiversity assessment across multiple habitat types. The PhD project will focus on applying and developing eDNA‑based methods to assess biodiversity and ecological communities in