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hold a PhD in the fields of ecology or evolutionary biology, or biostatistics/biomathematics. Required skills: - Data analysis using R and database management - Statistical modelling for ecology
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combining large-scale ecological datasets, species trait data, ecological network analyses, and quantitative modelling. The postdoctoral researcher will also coordinate and lead field resurveys of historical
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modelling, combining ecological theory with modern, reproducible approaches to understand and predict biodiversity change. Based in Potsdam, Germany, immediately southwest of Berlin, the position offers
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design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale microbiome and genome
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), bioinformatics, or theoretical ecology (modeling) research in peer-reviewed scientific journals ● Experience in programming in R, Python, or a similar programming language. ● A demonstrated commitment to
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sensing and ecological modelling. Research focuses on three contrasting UK peatscapes: Dartmoor, the Peak District and the Flow Country. The successful applicant will work closely with Dr Jessie Woodbridge
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flexible ecological modelling tools to help EU authorities design and optimize effective nature restoration plans. The postdoc will model species distribution at fine scale using advanced Species
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or expected to be completed within the next six months. Experience in ecological modelling and/or Land Surface Modelling Knowledge and experience working in HPC environment. Programming experience in Fortran
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or expected to be completed within the next six months. Experience in ecological modelling and/or Land Surface Modelling Knowledge and experience working in HPC environment. Programming experience in Fortran
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decision-making Preferred Qualifications: Previous experience with passive acoustic monitoring and/or eBird data Strong background in statistical modeling Familiarity with ecology and/or ornithology