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, scientific publishing, and presentation of scientific results in the form of posters and talks at national and international conferences. The ability to statistically analyse data sets is desirable
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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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Experience in plant stress ecology Experience with statistics, R Interest in team work Willingness to work in Kiel during joint experiments Desirable: Knowledge in aquatic ecology, microbiology, molecular
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-associated microbiomes using state of the art molecular methods! Your tasks Conducting field sampling and experiments to assess diversity and functionality of cyanobacteria-associated microbiomes Statistically
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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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affinity for communication design, graphic design or interaction design basic programming skills (Java, Python or C#) and knowledge of statistical data analysis, preferably with R or Python, is expected
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PostDoc in Chrononutrition (m/f/d) Department of Molecular Metabolism and Precision Nutrition (MMPN)
nutritional regulation of circadian clocks Planning and conducting of human studies in the field of chrononutrition and chronometabolic research Statistical and bioinformatic analysis of collected data and
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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
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datasets, determination 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