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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 The University of Oulu is a multidisciplinary, international research
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context. The successful applicant will have the opportunity to develop an autonomous line of research related to the interests of the lab in evolutionary genomics. Motivated applicants with a strong
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specified by the Principal Investigator. Additional Information about the Job: A post-doctoral position is immediately available in the lab of Dr. Yana Bromberg, in the departments of Biology and Computer
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Université de Bordeaux / University of Bordeaux | Villenave d Ornon, Aquitaine | France | 8 days ago
through the EU Research Framework Programme? Not funded by a EU programme Reference Number GPR Bordeaux Plant Sciences Is the Job related to staff position within a Research Infrastructure? No Offer
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-evolutionary dynamics of vegetation to geodynamics and even fewer investigate biogeodynamic interactions of tropical coastal wetland systems to evaluate the potential impacts of human-induced changes. We propose
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are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation, Diffusion models, Reinforcement Learning. The successful candidate will work in a highly
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evolutionary genetics lab. The goal of this research project is to understand the genomic basis of plant-microbiome variation in legumes. The post-doctoral researcher will be responsible for designing and
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faculty working on questions related to the ecology, evolution and conservation of biodiversity throughout the world, while the associated Interdisciplinary Program in Ecology and Evolutionary Biology links
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histories in Central Eurasia by applying palaeoproteomic methods to a selected number of archaeological sites in the region. The position is based in a research group composed of evolutionary and molecular
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genomic variation and phenotypic traits, predict gene essentiality, and model evolutionary trajectories. The role involves using large language models as coding assistants for efficient pipeline development