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postdoctoral candidates also experience) in stable isotope geochemistry and analysis. Expertise in data analyses and willingness to collaborate closely with colleagues in climate and vegetation modeling
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discussions and team meetings Taking over project responsibility Collaborating closely within an interdisciplinary research team sincere interest in analysis of large scale data - we can provide guidance Your
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with handling and harmonizing large and variable datasets, statistical analysis, species/ habitat distribution modelling, use of R/Python, GIS, preferably open source GIS (e.g. QGIS, GRASS). Essential is
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on in-situ hybridization, in–vivo electrophysiology data analysis with mice and is tightly linked to independent subprojects involving in-vivo electrophysiology in humans and high-resolution fMRI in awake
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simulations Enhanced sampling Molecular Dynamics simulations Your Profile The ideal applicant has a strong background in bioinformatics or computational chemistry, as well as data analysis and solid
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unit Analysis and interpretation of measurement data and preparation of scientific publications Requirements: PhD degree in discipline of the natural sciences, preferably chemistry Knowledge and
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sound background in geophysical fluid dynamics, experience in numerical ocean or atmospheric modelling, and experience with numerical data analysis. Good scientific presentation, writing, and