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Applications are invited for a Postdoctoral Research Associate in Evolutionary Developmental Biology with a particular emphasis on the genetic basis of differences in organ size Drosophila
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Postdoctoral Research Associate in Evolutionary Developmental Biology ( Job Number: 25001024) Department of Biosciences Grade 7: - £38,784 - £46,049 per annum Fixed Term - Full Time Contracted Hours
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We are currently seeking a Postdoctoral Research Associate to join our dynamic group at the Department of Biology. The Verd lab is interested in the diversity of biological form, how it is generated and how it evolves. In particular we focus on the evolution and evolvability of vertebral counts,...
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Postdoctoral Research Opportunity: Lipid Biology, Cell Death, and Evolutionary Genomics. We are seeking a highly motivated Postdoctoral Associate to join our collaborative research program at the intersection
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Detail Information Position Summary Postdoctoral Research Opportunity: Lipid Biology, Cell Death, and Evolutionary Genomics. We are seeking a highly motivated Postdoctoral Associate to join our
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Evolution) Lab in the Department of Anthropology . This collaborative research group is dedicated to advancing integrative scholarship on the evolutionary history of cercopithecoids, apes, and humans
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Infrastructure? No Offer Description The recruitment for 9 months concerns SONATA-16 project no. 2020/39/D/NZ8/01522, entitled “Hybridization as an evolutionary process which reinforces the adaptive potential
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psycholinguistics, brain-computer interfaces, robotics, cognitive modeling of language, computational linguistics, educational technologies, computational modeling of evolutionary and adaptive systems, image and
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Evolution) Lab in the Department of Anthropology . This collaborative research group is dedicated to advancing integrative scholarship on the evolutionary history of cercopithecoids, apes, and humans
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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