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peer-reviewed scientific publications, as demonstrated by your publication record experience in statistical modelling of field data is an advantage experience in giving lectures, courses or seminars and
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of ecological values based on statistical methods (e.g. PCoA, NMDS, TITAN), construction of microbial networks as well as trait-based models Presentation of project results at scientific conferences and
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familiar with evidence synthesis and meta-analysis software (e.g., Rayyan, R including the packages Metafor, Meta). Additionally, you have strong statistical knowledge and are open to further training in
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knowledge of analysis of primary data (especially in the area of lifestyle-related disorders and metabolic biomarkers) Experience in statistical analysis of large data sets and in working with SAS and/or R
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of the biogases produced using the developed membrane separation module Data acquisition and evaluation, including statistical analysis of measurement results Technical and methodological guidance for technical
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of spatial data (e.g., GIS) and statistical software applications (e.g., R, Matlab) Experience with biotelemetric applications on fish or animals in the wild Experience with image analyses Our offer We offer
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knowledge of computer vision, especially segmentation and object recognition Knowledge in the field of explainable Artificial Intelligence is an advantage Knowledge of Bayesian statistics is an advantage