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international journals with peer review Outstanding knowledge in statistical and quantitative analyses methods; preferable are also experiences with longitudinal studies and the analysis of longitudinal data
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networks Analyze and interpret multiome datasets (e.g., transcriptomics, epigenomics and related modalities) Apply advanced computational and statistical methods for integrative analysis of multi-layer
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programming language such as C or Fortran Strong expertise in data analyses and statistics Experience in ecological or environmental modelling Documented ability to publish scientific papers in international
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biodiversity patterns, utilizing both spatial and statistical expertise. At this stage of the subproject of the CRC the project aims to evaluate whether ecological patterns previously identified in the RESIST
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on disaster risk management and climate adaptation, using probilistic risk modelling, applied statistical methods to evaluate risk management and adaptation measures in the agricultural sector, mainly in low
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-GUESS code, or another fundamental programming language such as C or Fortran Strong expertise in data analyses and statistics Experience in ecological or environmental modelling Documented ability
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background in neurobiology Strong interest in studies on sleep in model organisms such as zebrafish Familiarity with statistics and programing experience with Python Previous experience with neuroimaging is