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, population-level empirical tests, and simulation modelling to explore the evolutionary roles of nutrition, reproductive investment, sexual conflict, and competition in the development of Semel parity in males
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until June 2027 • Location: Macquarie University (Wallumattagal Campus, North Ryde) Join a leading ecology and evolutionary biology research team to uncover the role of ecological interaction networks as
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observations and population synthesis to explore evolutionary pathways and physical mechanisms underpinning these enigmatic sources. Key Responsibilities Analyse archival MWA and ASKAP datasets to detect and
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dedicated to understanding the evolutionary biology of taxa threatened by climate change, including tropical reef-building corals and the Antarctic benthos. They will have the opportunity to contribute to and
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interdisciplinary research. Our group tackles a wide range of research questions and approaches in evolutionary analysis. This position has a particular focus on phylogenetic analyses of patterns and rates
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an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning and deep learning algorithms for dynamic systems (sequential or time-series data). Experience
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programming and data analysis. Interest in developing methods, algorithms or software. Evidence of publications in high-quality peer-reviewed journals. Excellent communication skills. Experience
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to research-based activities, including the development of new data analysis algorithms, processing and analysis of field data, and participation in the fieldwork. Your responsibilities will include: Conduct
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. The tasks of the postdoctoral researcher (innovation) will include: Conduct world-class research in foundational AI, with a focus on applications in the financial sector. Develop innovative algorithms
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communication techniques and systems: Design and develop novel signal processing algorithms and communication strategies for satellite systems, acquiring essential industry capabilities and skills. Collaborate