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Machine Learning, Artificial Intelligence, Computer Science, Statistics, or a closely related field. A strong research background and programming experience are essential, particularly in one or more of the
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. Candidates, who can identify themselves with the following competencies will be preferred: proven expertise in acoustics, statistical signal processing, and/or machine learning (AI) methods. strong analytical
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programming skills in Python are essential, along with the ability to design experiments, analyze results, and interpret findings. Knowledge of optimization techniques, statistical modeling, and data management
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: Experience with bioinformatics and statistical analyses of whole genome sequencing or other genomic data A strong conceptual background in evolutionary biology and population genetics Good writing skills and
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Denmark as well as contributing with data and analyses for comparative research papers on Denmark, Israel and the US. Familiarity with statistical methods and social network analysis is prerequisite
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there. There are also some postdoc stipends available which are not attached to any of the above mentioned centers/grants. Note that we also have a different call in Statistics, Insurance and Economics, including
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statistical analysis of results Experience with collecting field data in a spatial context Insight into analyzing data-intensive measurements and sensitive analysis Who we are At the Department of Agroecology