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to research this topic. Interest in laboratory work and basic technical understanding. Fluent written and spoken English. Programming skills in e.g. Python, R, Matlab and Java. Experience in image processing
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offers interdisciplinary approaches to biomedical research with a strong emphasis on imaging. PhD projects range from the analysis of basic cellular processes to clinical translation, from the generation
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• Eukaryotic cell culture and transfection of cell lines • Handling and experimental use of organoid models (provided by a partner institute), including adaptation for biophysical assays and imaging
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) Graduate School for Moving Images: Analog Realities, Digital Materialities (GBB) Graduiertenförderung in der Lehrer:innenbildung Duale Promotion in der Lehrer:innenbildung University of Kassel University
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molecular cell identification and single-/two-photon imaging techniques. You will work at the Leibniz Institute for Neurobiology (LIN) with Prof. Stefan Remy and in close cooperation with Dr. Janelle Pakan
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 16 hours ago
opportunities for cutting-edge research projects. Students benefit from the extraordinary infrastructure enabling all types of cognitive neuroimaging experiments. The IMPRS CoNI covers all major imaging and
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with reducing and oxidising gas-phase species (e.g. laser-based imaging diagnostics, setup of model reactors, modelling of underlying reactions, multi-scale simulation of reactive fluids, computational
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in the project, including experts in genetics, genomics, rhizosphere biology, and shoot biology to use a whole-plant-systems approach. Your tasks: Root anatomical phenotyping using imaging and
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), and of patch-clamping (which has revolutionised electrophysiology) have been complemented with discoveries such as the highly sensitive procedures for magnetic resonance imaging and the use of siRNA as
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and imaging diagnostics. The degree of resolution – already at single-cell level – will continue to increase in all disciplines of life sciences, and the need to process and combine huge data sets