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and interest in evolutionary ecology, plant biology and biostatistics to discover how plant defenses have evolved by using statistical approaches combined with experimental work. In this project you
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11 Feb 2025 Job Information Organisation/Company CNRS Department LIP6 Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Country France
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algorithms have been used to solve complex problems. However, these types of strategies, although popular, are heterogeneous or generated according to the needs of the case study. This has generated multiple
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state-of-the-art evolutionary genomics and theoretical population genetics. The students will spend most of their time in the Genetic and Evolutionary Ecology group (GEE) at the Centre d'Ecologie
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state-of-the-art evolutionary genomics and theoretical population genetics. The students will spend most of their time in the Genetic and Evolutionary Ecology group (GEE) at the Centre d'Ecologie
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. A suburban trains connects with Paris. Oxygenic photosynthesis evolved only once in evolutionary history. The acquisition of this metabolic ability by the ancestor of cyanobacteria had a tremendous
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evolutionary conservation across vertebrates in terms of muscle pattern and innervation modes (1–3). The coexistence of both vulnerable and resilient muscles within the same organism provides compelling in vivo
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analysis of unconventional integro-differential equations, and related stochastic processes, from evolutionary biology. The PhD student will also interact with other members of the ERC project. The thesis
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that shape the design of these circuits. The lab is dedicated to medical algorithmics on the applied research front, emphasising technologies implementable within hospitals. Notably, the lab’s medical image
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Inria, the French national research institute for the digital sciences | Lille, Nord Pas de Calais | France | 3 months ago
problem-solving is one of the major domains where QC can provide advances. Variational Quantum Algorithms (VQAs) are a promising class of quantum optimisers capable of providing promising efficiency despite