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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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differing spatial resolutions. Using catchment-scale ecological and water quality data, the project aims to assess how abiotic drivers, biotic interactions, and stochastic processes jointly shape species
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world with increasing digitalization and medical needs. Our research integrates materials chemistry, biological processes, physical analysis, process engineering and data science. We collaborate with
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systems with the aim of investigating terrestrial paleoclimate or tectonics-climate interaction processes through the application of novel data-driven approaches. Candidates should have a career-equivalent
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of the model or their parameterization based on the results from the model-data comparisons Publish results in scientific journals with highest scientific standards Your Profile PhD degree in Ecology
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its employees in reconciling work and family life and regularly undergoes the audit berufundfamilie® . Further information at: http://www.ifw-dresden.de . The Nanostructured Thin Film Materials (NTFM
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, molecular genetics and genomics. You are experienced with Next Generation Sequencing methods. Ideally you have an affinity to command-line based bioinformatic data analysis. Experience with R and Linux in a
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scientist with a strong background in: MR Physics, Data Science, Biomedical Engineering, or a related discipline Solid experience in MRI acquisition and data analysis, ideally in cardiac and/or brain imaging
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. Within this project, work package 1 focuses on the resilience of the marine sinks of heat and carbon, using Earth system and biogeochemical models, observational data, and scenario analysis to identify
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(Sangeeta.Sharma(at)mbi-berlin.de or sangeeta.sharma(at)fu-berlin.de ). The application deadline is May 1st , 2026. For further information about the position, please contact Ms. Prof. Dr. Sangeeta Sharma