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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
biogeochemistry, ocean modelling Proven skills in Fortran, Python, or a similar programming language Skills in the processing, statistical analysis, and visualization of large data sets Strong English language
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and knowledge of statistical methods Familiarity with Linux environment, version control and compute clusters Profound experience with R / Bioconductor for omics data analysis or equivalent Knowledge
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about statistical and machine learning knowledge about gene editing techniques, e.g. CRISP-Cas he/she should have experience in bioinformatics, including next generation sequencing pipelines, data
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high-quality standards Confidence in the use of statistical modeling techniques and software (R or MPlus). This includes methods like panel data analysis, hierarchical models, spatial analysis
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or the willingness to acquire this at the beginning of the position Good statistical and methodological skills; experience in independently analysing empirical data (e.g. with R, Python or Mplus
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
carbon cycle modelling Proven skills in Fortran, Python, or similar programming language Skills in the processing, statistical analysis, and visualization of data Strong English language skills Ability
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statistical as well as communication skills are required. Working environment Apart from working closely with group members at the Kiel Institute, the successful candidate will liaise with external partners and
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annotation, development and 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
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | about 2 months ago
analysing newly generated datasets and investigating the potential of novel algorithmic, statistical, and machine learning solutions to foster the creation of new computational tools. The position provides
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the time of appointment Research expertise in linguistics, psycholinguistics, and/or clinical linguistics Strong theoretical background Strong statistical skills including descriptive and inferential