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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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focus on topics of the department and in particular on determinants and development of socio-emotional and cognitive competencies, preferably with data from the National Educational Panel Study Exchange
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and conducting psychological experiments, with a strong focus on the collection, analysis, and interpretation of neuroimaging data using EEG, fMRI, and combined EEG–fMRI techniques. Your Qualifications
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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
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methods Ability to work in a team International experience Good written/spoken English skills Experience in interdisciplinary collaboration Further information: For questions, please contact Prof. Dr
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development for lidar control. Data evaluation is an essential part of the project work to distinguish between natural variability of the observed metals and aerosols and anthropogenic effects. Your
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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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be preferentially selected. In the case of degrees obtained abroad, proof of equivalence with a German degree must be enclosed. For further information, please refer to the website of the Central
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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