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with evidence of other captures in other fungal species. We seek to understand the evolutionary history and horizontal transfer of the ToxTA transposon in natural populations of all fungal species in
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 1 month ago
physiological assays across, we aim to elucidate the fundamental processes underlying the evolutionary success and ongoing ecological collapse of photosymbioses. To achieve this, PhagoPhoRe builds on a large
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, evolutionary game theory, infectious disease modeling, and assistive and accessibility technologies, with a shared commitment to improving health outcomes through data-driven discovery. Dr. Strings lab profile
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molecular experiments, preferably including CRISPR/Cas9 gene editing or RNAi in insects. Strong English communication skills (written and spoken). Background in evolutionary biology, entomology, genomics
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in
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speciation is a major research avenue in evolutionary biology. Comparing allopatric and sympatric populations of closely-related species provides a way to distinguish among traits involved in triggering
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quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in
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assistant professor ("post-doc") funded by the National Science Centre in Poland (NCN) is held at the Department of Evolutionary Immunology of the Jagiellonian University, Faculty of Biology. The post-doc
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transcription factors via dual-luciferase-based trans-activation assays. Develop TurboCas methodology for plant use, Test candidate genes and evolutionary conservation in planta via transgenic approaches
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affiliates reflect strengths in machine learning, biological modeling, data ethics, data sovereignty, computer science, environmental data science, climate change policy and modeling, evolutionary genetics