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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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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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application of comparative genomic methods to discover differences in genes and gene expression, and the use of statistical approaches to link phenotypic to genomic changes. Our lab is part of TBG (https
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the field of computational statistics and data science Enhancing the existing R package "MicSim" for modelling intergenerational dynamics Creation of a simulation model at the person level with a focus on
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Biology or related field Demonstrated experience in experimental work Experience with molecular/genomic techniques would be advantageous Strong statistical or bioinformatic skills Collaborative team player
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academic track record Hands-on experience in some of the following areas is welcome: familiarity with statistics and programming experience in MATLAB or Python are important experience or strong interest in
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. You have expertise in working with large metabolomic and transcriptomic datasets using open source statistical packages such as R and python. You have solid English and German skills, which are a
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models and methods for efficient semantic indexing, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis
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the field would be an advantage Experience in analyzing movement data would be an advantage Advanced statistical and analytical abilities (experience using R is a plus) Excellent command of