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Qualifications: Ph.D., M.D. or equivalent terminal or doctoral degree in Biological anthropology, Ecology, Evolutionary biology, Environmental microbiology, or a related field Experience with field data collection
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-scale Modeling, Evolutionary Computation, Diffusion models, Reinforcement Learning. The successful candidate will work in a highly collaborative and international environment. Contact Information
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The Department of Genomics and Computational Biology at UMass Chan Medical School, located in the state-of-the-art Albert Sherman Center, is a forefront of research in Computational Biology, Evolutionary Biology
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, located in the state-of-the-art Albert Sherman Center, is a forefront of research in Computational Biology, Evolutionary Biology, and Genomics. The Department focuses on deciphering complex biological data
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for this position. More About This Job Required Qualifications: Ph.D., M.D. or equivalent terminal or doctoral degree in Biological anthropology, Ecology, Evolutionary biology, Environmental microbiology, or a
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experimental results with broader evolutionary developmental frameworks. Prepare manuscripts for publication and communicate research findings at conferences and seminars. Contribute to mentoring graduate and
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underlying sleep, a fundamental and evolutionary conserved behavior. We are studying the homeostatic and circadian mechanisms regulating sleep, and also have deep interest in understanding the functions
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the reference genome, we will sequence multiple isolates from various Calonectria species to investigate population diversity and evolutionary relationships. RNA-Seq–based gene expression analysis will be
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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in evolutionary biology, plant biology, genomics, bioinformatics, mathematics, statistics, computer
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is seeking a postdoctoral associate for a funded project on evolutionary responses to climate change and consequences for geographic range dynamics. Our project specifically focuses on improving