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analyzing them by conventional and confocal microscopy. Assessment of cellular lignin and suberin deposition patterns. Assessment of transcriptomic responses to water and nutrient limitation. Element spatial
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 16 days ago
combines expertise in advanced techniques of demographic, longitudinal and spatial analysis. The student is expected to use the opportunity of preparing a PhD thesis as a collection of research articles
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genetics in the grasses, especially in the model systems Zea mays (maize) or Brachypodium distachyon. We particularly welcome candidates with expertise in grass transformation and/or spatial transcriptomics
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earning, 12-month, research assistant professor position to begin Spring 2025. The ideal candidate will have expertise in spatial sound reproduction techniques for use in human psychoacoustic studies and
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the aim of taking the complex spatial structure of clouds into account in climate models and global remote sensing. The position thus offers highly relevant and interesting opportunities for work and
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life. The successful candidate will work closely with experts in food allergy, neuroimmunology, gut physiology, and computational biology to characterize immune cell responses, construct spatial maps
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determined by combining the observed space density of galaxies, the measured spatial distribution of galaxies and simulations of the dark matter distribution. Example themes for student projects follow and
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systems on different temporal and spatial scales. For our Research Group Applied Optimization we are looking for a PhD student: New Deep Learning - based Framework for Energy Modelling: Combination
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consist of the following: Numerical simulation of multimode Raman interaction Mode excitation in optical fibers Characterize the modal purity of a multimode Raman amplifier Develop and implement spatial
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build abstract, spatially explicit models of interacting molecules to examine which properties (features of both the building blocks and the environment) enable replication with sufficient variation and