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Field
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ecological processes Strong skills in statistical modelling and spatial data analyses Capacity to work with complex data sets Strong communication skills in English Other qualifications counted as an advantage
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qualifications PhD within forest sciences or statistics. Competence in forestry and model-based inference for forest inventory applications. Competence in DA. Experience in use of remotely sensed data for forest
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the statistics of tropical cyclones over the past millennium, recent historical era and the coming centuries, using a combination of high-resolution climate modeling, machine learning/artificial intelligence (ML
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National Institutes of Health-funded CRITmetic Project, which is a multi-year project that includes the design and development of a digital literacy and mental health intervention. Applications are strongly
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of funds. Minimum Education Required - Doctoral degree in Psychology, Statistics, Neuroscience or related field Required Qualifications – Research in Psychology or a related field. Desired Qualifications
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teams; experience in data analysis and statistical programming; expert proficiency in STATA statistical programming This term position is available for one year with possibility of renewal based
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Qualtrics Creating social network-based questionnaires using Network Canvas Suite Experience in data manipulation and analysis using statistical tools (e.g., R/SPSS) Experience coding and analyzing
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genomics, transcriptomics, proteomics, and epigenomics. Designs and develops innovative bioinformatics software and statistical tools for analyzing single-cell sequencing and spatial transcriptomics data
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, Computational Biology, Statistics, Computer Science, Artificial Intelligence, Physics, Engineering, Bio-engineering, or equivalent. Proven track record of successful research and high-ranked publications in
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | about 12 hours ago
the evolution of numeral systems Selection criteria A PhD in linguistics, cognitive science, evolutionary biology, computer science, statistics, anthropology, or related field with an outstanding academic record